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Research data keyboard_double_arrow_right Dataset 2018 SerbiaElsevier Science Bv, Amsterdam MESTD | Structure-properties rela...MESTD| Structure-properties relationships of natural and synthetic molecules and their metal complexesGuzelmeric, Etil; Ristivojević, Petar; Trifković, Jelena; Dastan, Tugce; Yilmaz, Ozlem; Cengiz, Ozlem; Yesilada, Erdem;handle: 21.15107/rcub_cherry_2990
Supplementary data for: [https://doi.org/10.1016/j.lwt.2017.08.060] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2552] Related to accepted version: [http://cherry.chem.bg.ac.rs/handle/123456789/2989]
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 81visibility views 81 download downloads 107 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016figshare NIH | Identification of protein..., NSF | Bilateral BBSRC-NSF/BIO C..., NSF | Bilateral BBSRC-NSF/BIO C... +25 projectsNIH| Identification of protein-metabolite interactome. ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critcal Assessment of Protein Function Annotation ,UKRI| Integration of enhanced protein function prediction with experimental studies of fertilisation in Plasmodium - a wet/dry study ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NIH| Integrative Meta-analysis of Microarray Data ,UKRI| A GPU-based high performance system for discovering consensus domain architecture and functional annotation of protein families ,NIH| Informatic Profiling of Clinically Relevant Mutation ,NSF| ABI Innovation: Protein Functional Sites Identification Using Sequence Variation ,NIH| Distance-based ab initio protein structure prediction ,NIH| Laying the Foundation of Genomic Enzymology ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,UKRI| Development of a graph-theoretic approach to predict protein function by integrating large scale heterogeneous data ,NSERC ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,UKRI| New Developments of Large-scale Automatic Protein Function Prediction using Graphical Learning Techniques ,UKRI| Computational Inference of Gene Function in Crop Genomes using Hierarchical Orthologous Groups ,EC| TRANSPLANT ,WT ,SNSF| Harnessing Phylogenetic Variation Among Genetic Loci to Unravel Species Phylogenies, Lateral Gene Transfer, and Recombination Hotspots ,MESTD| Application of the EIIP/ISM bioinformatics platform in discovery of novel therapeutic targets and potential therapeutic molecules ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,EC| MAESTRA ,UKRI| Automated identification of optimal data-specific organelle clusters using freely available protein annotations ,ARC| Discovery Projects - Grant ID: DP150101550 ,NIH| Institute of Translational Health Sciences ,NSF| III: Small: Rapid screening of interacting ligands and proteins ,NIH| Protein function prediction by statistical phylogenomicsAuthors: Friedberg, Iddo; Yuxiang Jiang; Radivojac, Predrag;Friedberg, Iddo; Yuxiang Jiang; Radivojac, Predrag;Supplementary data from the second Critical Assessment of protein Function Annotation (CAFA2). See preprint here: http://arxiv.org/abs/1601.00891
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2016Figshare NSF | ABI Innovation: Protein F..., SNSF | Harnessing Phylogenetic V..., MESTD | Application of the EIIP/I... +25 projectsNSF| ABI Innovation: Protein Functional Sites Identification Using Sequence Variation ,SNSF| Harnessing Phylogenetic Variation Among Genetic Loci to Unravel Species Phylogenies, Lateral Gene Transfer, and Recombination Hotspots ,MESTD| Application of the EIIP/ISM bioinformatics platform in discovery of novel therapeutic targets and potential therapeutic molecules ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,WT ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,EC| TRANSPLANT ,ARC| Discovery Projects - Grant ID: DP150101550 ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,UKRI| Development of a graph-theoretic approach to predict protein function by integrating large scale heterogeneous data ,UKRI| Automated identification of optimal data-specific organelle clusters using freely available protein annotations ,NSERC ,EC| MAESTRA ,NIH| Protein function prediction by statistical phylogenomics ,UKRI| New Developments of Large-scale Automatic Protein Function Prediction using Graphical Learning Techniques ,UKRI| A GPU-based high performance system for discovering consensus domain architecture and functional annotation of protein families ,UKRI| Computational Inference of Gene Function in Crop Genomes using Hierarchical Orthologous Groups ,NIH| Identification of protein-metabolite interactome. ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critcal Assessment of Protein Function Annotation ,UKRI| Integration of enhanced protein function prediction with experimental studies of fertilisation in Plasmodium - a wet/dry study ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NIH| Integrative Meta-analysis of Microarray Data ,NIH| Informatic Profiling of Clinically Relevant Mutation ,NIH| Laying the Foundation of Genomic Enzymology ,NIH| Institute of Translational Health Sciences ,NIH| Distance-based ab initio protein structure prediction ,NSF| III: Small: Rapid screening of interacting ligands and proteinsYuxiang Jiang; Oron, Tal Ronnen; Clark, Wyatt T.; Bankapur, Asma R.; D’Andrea, Daniel; Lepore, Rosalba; Funk, Christopher S.; Indika Kahanda; Verspoor, Karin M.; Ben-Hur, Asa; Koo, Da Chen Emily; Penfold-Brown, Duncan; Shasha, Dennis; Youngs, Noah; Bonneau, Richard; Lin, Alexandra; Sahraeian, Sayed M. E.; Martelli, Pier Luigi; Profiti, Giuseppe; Casadio, Rita; Renzhi Cao; Zhaolong Zhong; Jianlin Cheng; Altenhoff, Adrian; Skunca, Nives; Dessimoz, Christophe; Tunca Dogan; Hakala, Kai; Suwisa Kaewphan; Mehryary, Farrokh; Salakoski, Tapio; Ginter, Filip; Fang, Hai; Smithers, Ben; Oates, Matt; Gough, Julian; Törönen, Petri; Koskinen, Patrik; Holm, Liisa; Ching-Tai Chen; Hsu, Wen-Lian; Bryson, Kevin; Cozzetto, Domenico; Minneci, Federico; Jones, David T.; Chapman, Samuel; Dukka BKC; Ishita K. Khan; Kihara, Daisuke; Ofer, Dan; Rappoport, Nadav; Stern, Amos; Cibrian-Uhalte, Elena; Denny, Paul; Foulger, Rebecca E.; Hieta, Reija; Legge, Duncan; Lovering, Ruth C.; Magrane, Michele; Melidoni, Anna N.; Mutowo-Meullenet, Prudence; Pichler, Klemens; Shypitsyna, Aleksandra; Li, Biao; Pooya Zakeri; ElShal, Sarah; Léon-Charles Tranchevent; Sayoni Das; Dawson, Natalie L.; Lee, David; Lees, Jonathan G.; Sillitoe, Ian; Prajwal Bhat; Nepusz, Tamás; Romero, Alfonso E.; Sasidharan, Rajkumar; Haixuan Yang; Paccanaro, Alberto; Gillis, Jesse; Sedeño-Cortés, Adriana E.; Pavlidis, Paul; Feng, Shou; Cejuela, Juan M.; Goldberg, Tatyana; Hamp, Tobias; Richter, Lothar; Salamov, Asaf; Gabaldon, Toni; Marcet-Houben, Marina; Supek, Fran; Qingtian Gong; Ning, Wei; Yuanpeng Zhou; Weidong Tian; Falda, Marco; Fontana, Paolo; Lavezzo, Enrico; Toppo, Stefano; Ferrari, Carlo; Giollo, Manuel; Piovesan, Damiano; Tosatto, Silvio C.E.; Pozo, Angela Del; Fernández, José M.; Maietta, Paolo; Valencia, Alfonso; Tress, Michael L.; Benso, Alfredo; Carlo, Stefano Di; Politano, Gianfranco; Savino, Alessandro; Hafeez Ur Rehman; Re, Matteo; Mesiti, Marco; Valentini, Giorgio; Bargsten, Joachim W.; Dijk, Aalt D. J. Van; Gemovic, Branislava; Glisic, Sanja; Vladmir Perovic; Veljkovic, Veljko; Veljkovic, Nevena; Danillo C. Almeida-E-Silva; Vencio, Ricardo Z. N.; Malvika Sharan; Vogel, Jörg; Lakesh Kansakar; Shanshan Zhang; Vucetic, Slobodan; Wang, Zheng; Sternberg, Michael J. E.; Wass, Mark N.; Huntley, Rachael P.; Martin, Maria J.; O’Donovan, Claire; Robinson, Peter N.; Moreau, Yves; Tramontano, Anna; Babbitt, Patricia C.; Brenner, Steven E.; Linial, Michal; Orengo, Christine A.; Rost, Burkhard; Greene, Casey S.; Mooney, Sean D.; Friedberg, Iddo; Radivojac, Predrag;Abstract Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 SerbiaMDPI AG EC | FCUB-ERA, MESTD | Structure-properties rela...EC| FCUB-ERA ,MESTD| Structure-properties relationships of natural and synthetic molecules and their metal complexesMosić, Mirjana D.; Trifković, Jelena; Vovk, Irena; Gašić, Uroš M.; Tešić, Živoslav Lj.; Šikoparija, Branko; Milojković-Opsenica, Dušanka;handle: 21.15107/rcub_cherry_3775
Supplementary material for: [https://doi.org/10.3390/biom9120783] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/3774]
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 116visibility views 116 download downloads 71 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 SerbiaElsevier BV MESTD | Interactions of natural p...MESTD| Interactions of natural products, their derivatives and coordination compounds with proteins and nucleic acidsAuthors: Milenković, Milica R.; Papastavrou, Agyro T.; Radanović, Dušanka D.; Pevec, Andrej; +7 AuthorsMilenković, Milica R.; Papastavrou, Agyro T.; Radanović, Dušanka D.; Pevec, Andrej; Jagličić, Zvonko; Zlatar, Matija; Gruden-Pavlović, Maja; Vougioukalakis, Georgios C.; Turel, Iztok; Anđelković, Katarina K.; Čobeljić, Božidar;handle: 21.15107/rcub_cherry_3006
Related to accepted version: [http://cherry.chem.bg.ac.rs/handle/123456789/2865] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2858] Supplementary material for: [https://www.sciencedirect.com/science/article/pii/S0277538719301664?via%3Dihub]
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 63visibility views 63 download downloads 63 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Mendeley MESTD | Psychological foundations..., SSHRC, MESTD | Fundamental cognitive pro...MESTD| Psychological foundations of mental health: hereditary and environmental factors ,SSHRC ,MESTD| Fundamental cognitive processes and functionsAuthors: Nenadić, Filip;Nenadić, Filip;Dataset from the four studies of subjective experience of poetry, where experts and non-experts read sets of poems and rated them on a number of adjectives. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2018 SerbiaElsevier Science Bv, Amsterdam MESTD | Structure-properties rela...MESTD| Structure-properties relationships of natural and synthetic molecules and their metal complexesGuzelmeric, Etil; Ristivojević, Petar; Trifković, Jelena; Dastan, Tugce; Yilmaz, Ozlem; Cengiz, Ozlem; Yesilada, Erdem;handle: 21.15107/rcub_cherry_2990
Supplementary data for: [https://doi.org/10.1016/j.lwt.2017.08.060] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2552] Related to accepted version: [http://cherry.chem.bg.ac.rs/handle/123456789/2989]
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______4206::f0e91d58dad40094440e7ddeebdf1ba6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 81visibility views 81 download downloads 107 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016figshare NIH | Identification of protein..., NSF | Bilateral BBSRC-NSF/BIO C..., NSF | Bilateral BBSRC-NSF/BIO C... +25 projectsNIH| Identification of protein-metabolite interactome. ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critcal Assessment of Protein Function Annotation ,UKRI| Integration of enhanced protein function prediction with experimental studies of fertilisation in Plasmodium - a wet/dry study ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NIH| Integrative Meta-analysis of Microarray Data ,UKRI| A GPU-based high performance system for discovering consensus domain architecture and functional annotation of protein families ,NIH| Informatic Profiling of Clinically Relevant Mutation ,NSF| ABI Innovation: Protein Functional Sites Identification Using Sequence Variation ,NIH| Distance-based ab initio protein structure prediction ,NIH| Laying the Foundation of Genomic Enzymology ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,UKRI| Development of a graph-theoretic approach to predict protein function by integrating large scale heterogeneous data ,NSERC ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,UKRI| New Developments of Large-scale Automatic Protein Function Prediction using Graphical Learning Techniques ,UKRI| Computational Inference of Gene Function in Crop Genomes using Hierarchical Orthologous Groups ,EC| TRANSPLANT ,WT ,SNSF| Harnessing Phylogenetic Variation Among Genetic Loci to Unravel Species Phylogenies, Lateral Gene Transfer, and Recombination Hotspots ,MESTD| Application of the EIIP/ISM bioinformatics platform in discovery of novel therapeutic targets and potential therapeutic molecules ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,EC| MAESTRA ,UKRI| Automated identification of optimal data-specific organelle clusters using freely available protein annotations ,ARC| Discovery Projects - Grant ID: DP150101550 ,NIH| Institute of Translational Health Sciences ,NSF| III: Small: Rapid screening of interacting ligands and proteins ,NIH| Protein function prediction by statistical phylogenomicsAuthors: Friedberg, Iddo; Yuxiang Jiang; Radivojac, Predrag;Friedberg, Iddo; Yuxiang Jiang; Radivojac, Predrag;Supplementary data from the second Critical Assessment of protein Function Annotation (CAFA2). See preprint here: http://arxiv.org/abs/1601.00891
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2016Figshare NSF | ABI Innovation: Protein F..., SNSF | Harnessing Phylogenetic V..., MESTD | Application of the EIIP/I... +25 projectsNSF| ABI Innovation: Protein Functional Sites Identification Using Sequence Variation ,SNSF| Harnessing Phylogenetic Variation Among Genetic Loci to Unravel Species Phylogenies, Lateral Gene Transfer, and Recombination Hotspots ,MESTD| Application of the EIIP/ISM bioinformatics platform in discovery of novel therapeutic targets and potential therapeutic molecules ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,WT ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,EC| TRANSPLANT ,ARC| Discovery Projects - Grant ID: DP150101550 ,NSF| Collaborative Research: GOSTRUCT: modeling the structure of the Gene Ontology for accurate protein function prediction ,UKRI| Development of a graph-theoretic approach to predict protein function by integrating large scale heterogeneous data ,UKRI| Automated identification of optimal data-specific organelle clusters using freely available protein annotations ,NSERC ,EC| MAESTRA ,NIH| Protein function prediction by statistical phylogenomics ,UKRI| New Developments of Large-scale Automatic Protein Function Prediction using Graphical Learning Techniques ,UKRI| A GPU-based high performance system for discovering consensus domain architecture and functional annotation of protein families ,UKRI| Computational Inference of Gene Function in Crop Genomes using Hierarchical Orthologous Groups ,NIH| Identification of protein-metabolite interactome. ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critcal Assessment of Protein Function Annotation ,UKRI| Integration of enhanced protein function prediction with experimental studies of fertilisation in Plasmodium - a wet/dry study ,NSF| Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation ,NIH| Integrative Meta-analysis of Microarray Data ,NIH| Informatic Profiling of Clinically Relevant Mutation ,NIH| Laying the Foundation of Genomic Enzymology ,NIH| Institute of Translational Health Sciences ,NIH| Distance-based ab initio protein structure prediction ,NSF| III: Small: Rapid screening of interacting ligands and proteinsYuxiang Jiang; Oron, Tal Ronnen; Clark, Wyatt T.; Bankapur, Asma R.; D’Andrea, Daniel; Lepore, Rosalba; Funk, Christopher S.; Indika Kahanda; Verspoor, Karin M.; Ben-Hur, Asa; Koo, Da Chen Emily; Penfold-Brown, Duncan; Shasha, Dennis; Youngs, Noah; Bonneau, Richard; Lin, Alexandra; Sahraeian, Sayed M. E.; Martelli, Pier Luigi; Profiti, Giuseppe; Casadio, Rita; Renzhi Cao; Zhaolong Zhong; Jianlin Cheng; Altenhoff, Adrian; Skunca, Nives; Dessimoz, Christophe; Tunca Dogan; Hakala, Kai; Suwisa Kaewphan; Mehryary, Farrokh; Salakoski, Tapio; Ginter, Filip; Fang, Hai; Smithers, Ben; Oates, Matt; Gough, Julian; Törönen, Petri; Koskinen, Patrik; Holm, Liisa; Ching-Tai Chen; Hsu, Wen-Lian; Bryson, Kevin; Cozzetto, Domenico; Minneci, Federico; Jones, David T.; Chapman, Samuel; Dukka BKC; Ishita K. Khan; Kihara, Daisuke; Ofer, Dan; Rappoport, Nadav; Stern, Amos; Cibrian-Uhalte, Elena; Denny, Paul; Foulger, Rebecca E.; Hieta, Reija; Legge, Duncan; Lovering, Ruth C.; Magrane, Michele; Melidoni, Anna N.; Mutowo-Meullenet, Prudence; Pichler, Klemens; Shypitsyna, Aleksandra; Li, Biao; Pooya Zakeri; ElShal, Sarah; Léon-Charles Tranchevent; Sayoni Das; Dawson, Natalie L.; Lee, David; Lees, Jonathan G.; Sillitoe, Ian; Prajwal Bhat; Nepusz, Tamás; Romero, Alfonso E.; Sasidharan, Rajkumar; Haixuan Yang; Paccanaro, Alberto; Gillis, Jesse; Sedeño-Cortés, Adriana E.; Pavlidis, Paul; Feng, Shou; Cejuela, Juan M.; Goldberg, Tatyana; Hamp, Tobias; Richter, Lothar; Salamov, Asaf; Gabaldon, Toni; Marcet-Houben, Marina; Supek, Fran; Qingtian Gong; Ning, Wei; Yuanpeng Zhou; Weidong Tian; Falda, Marco; Fontana, Paolo; Lavezzo, Enrico; Toppo, Stefano; Ferrari, Carlo; Giollo, Manuel; Piovesan, Damiano; Tosatto, Silvio C.E.; Pozo, Angela Del; Fernández, José M.; Maietta, Paolo; Valencia, Alfonso; Tress, Michael L.; Benso, Alfredo; Carlo, Stefano Di; Politano, Gianfranco; Savino, Alessandro; Hafeez Ur Rehman; Re, Matteo; Mesiti, Marco; Valentini, Giorgio; Bargsten, Joachim W.; Dijk, Aalt D. J. Van; Gemovic, Branislava; Glisic, Sanja; Vladmir Perovic; Veljkovic, Veljko; Veljkovic, Nevena; Danillo C. Almeida-E-Silva; Vencio, Ricardo Z. N.; Malvika Sharan; Vogel, Jörg; Lakesh Kansakar; Shanshan Zhang; Vucetic, Slobodan; Wang, Zheng; Sternberg, Michael J. E.; Wass, Mark N.; Huntley, Rachael P.; Martin, Maria J.; O’Donovan, Claire; Robinson, Peter N.; Moreau, Yves; Tramontano, Anna; Babbitt, Patricia C.; Brenner, Steven E.; Linial, Michal; Orengo, Christine A.; Rost, Burkhard; Greene, Casey S.; Mooney, Sean D.; Friedberg, Iddo; Radivojac, Predrag;Abstract Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.3623645&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.3623645&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 SerbiaMDPI AG EC | FCUB-ERA, MESTD | Structure-properties rela...EC| FCUB-ERA ,MESTD| Structure-properties relationships of natural and synthetic molecules and their metal complexesMosić, Mirjana D.; Trifković, Jelena; Vovk, Irena; Gašić, Uroš M.; Tešić, Živoslav Lj.; Šikoparija, Branko; Milojković-Opsenica, Dušanka;handle: 21.15107/rcub_cherry_3775
Supplementary material for: [https://doi.org/10.3390/biom9120783] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/3774]
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______4206::0dc80a9d72a81c1db72d8d82d5633a0f&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 116visibility views 116 download downloads 71 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______4206::0dc80a9d72a81c1db72d8d82d5633a0f&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019 SerbiaElsevier BV MESTD | Interactions of natural p...MESTD| Interactions of natural products, their derivatives and coordination compounds with proteins and nucleic acidsAuthors: Milenković, Milica R.; Papastavrou, Agyro T.; Radanović, Dušanka D.; Pevec, Andrej; +7 AuthorsMilenković, Milica R.; Papastavrou, Agyro T.; Radanović, Dušanka D.; Pevec, Andrej; Jagličić, Zvonko; Zlatar, Matija; Gruden-Pavlović, Maja; Vougioukalakis, Georgios C.; Turel, Iztok; Anđelković, Katarina K.; Čobeljić, Božidar;handle: 21.15107/rcub_cherry_3006
Related to accepted version: [http://cherry.chem.bg.ac.rs/handle/123456789/2865] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2858] Supplementary material for: [https://www.sciencedirect.com/science/article/pii/S0277538719301664?via%3Dihub]
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______4206::c5b586c15f0da48722b36378500dcdc9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 63visibility views 63 download downloads 63 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______4206::c5b586c15f0da48722b36378500dcdc9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Mendeley MESTD | Psychological foundations..., SSHRC, MESTD | Fundamental cognitive pro...MESTD| Psychological foundations of mental health: hereditary and environmental factors ,SSHRC ,MESTD| Fundamental cognitive processes and functionsAuthors: Nenadić, Filip;Nenadić, Filip;Dataset from the four studies of subjective experience of poetry, where experts and non-experts read sets of poems and rated them on a number of adjectives. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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