The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

作者：Naihui Zhou, Yuxiang Jiang, Timothy Bergquist, Alexandra Lee, Balint Z Kacsoh, Alex W. Crocker, Kimberley A. Lewis, George P. Georghiou, Huy Nguyen, Md-Nafiz Hamid, L. Taylor Davis, Tunca Doğan, Volkan Atalay, Ahmet Süreyya Rifaioğlu, Alperen Dalkıran, Rengül Çetin-Atalay, Chengxin Zhang, Rebecca L. Hurto, Peter L. Freddolino, Yang Zhang, Prajwal Bhat, Fran Supek, José M. Fernández, Branislava Gemović, Vladimir Perović, Radoslav Davidović, Neven Šumonja, Nevena Veljković, Ehsaneddin Asgari, Mohammad RK Mofrad, Giuseppe Profiti, Castrense Savojardo, Pier Luigi Martelli, Rita Casadio, Florian Boecker, Indika Kahanda, Natalie Thurlby, Alice C. McHardy, Alexandre Renaux, Rabie Saidi, Julian Gough, Alex A. Freitas, Magdalena Antczak, Fábio Fabris, Mark N. Wass, Jie Hou, Jianlin Cheng, Jie Hou, Zheng Wang, Alfonso E. Romero, Alberto Paccanaro, Haixuan Yang, Tatyana Goldberg, Chenguang Zhao, Liisa Holm, Petri Törönen, Alan Medlar, Elaine Zosa, Itamar Borukhov, Ilya B. Novikov, Angela D. Wilkins, Olivier Lichtarge, Po-Han Chi, Wei-Cheng Tseng, Michal Linial, Peter W. Rose, Christophe Dessimoz, Vedrana Vidulin, Sašo Džeroski, Ian Sillitoe, Sayoni Das, Jonathan Lees, David T. Jones, Cen Wan, Domenico Cozzetto, Rui Fa, Mateo Torres, Alex Wiarwick Vesztrocy, José Manuel Rodrı́guez, Michael L. Tress, Marco Frasca, Marco Notaro, Giuliano Grossi, Alessandro Petrini, Matteo Ré, Giorgio Valentini, Marco Mesiti, Daniel B. Roche, Jonas Reeb, David W. Ritchie, Sabeur Aridhi, Seyed Ziaeddin Alborzi, Marie‐Dominique Devignes, Da Chen Emily Koo, Richard Bonneau, Vladimir Gligorijević, Meet Barot, Hai Fang, Stefano Toppo, Enrico Lavezzo, Marco Falda, Michele Berselli, Silvio C. E. Tosatto, Marco Carraro, Damiano Piovesan, Hafeez Ur Rehman, Qizhong Mao, Shanshan Zhang, Slobodan Vučetić, Gage S. Black, Dane Jo, Dallas J. Larsen, Ashton Omdahl, Luke Sagers, Erica Suh, Jonathan Dayton, Liam J. McGuffin, Danielle A Brackenridge, Patricia C. Babbitt, Jeffrey M. Yunes, Paolo Fontana, Feng Zhang, Shanfeng Zhu, Ronghui You, Zihan Zhang, Suyang Dai, Shuwei Yao, Weidong Tian, Renzhi Cao, Caleb Chandler, Miguel Amezola, D. Barrie Johnson, Jia‐Ming Chang, Wen‐Hung Liao, Yiwei Liu, Stefano Pascarelli, Yotam Frank, Robert Hoehndorf, Maxat Kulmanov, Imane Boudellioua, Gianfranco Politano, Stefano Di Carlo, Alfredo Benso, Kai Hakala, Filip Ginter, Farrokh Mehryary, Suwisa Kaewphan, Jari Björne, Hans Moen, Martti Tolvanen, Tapio Salakoski, Daisuke Kihara, Aashish Jain, Tomislav Šmuc, Adrian Altenhoff, Asa Ben‐Hur, Burkhard Rost, Steven E. Brenner, Christine Orengo, Constance J. Jeffery, Giovanni Bosco, Deborah A. Hogan, María Martin, Claire O’Donovan, Sean D. Mooney, Casey S. Greene, Predrag Radivojac, Iddo Friedberg · 发表于：bioRxiv (Cold Spring Harbor Laboratory) · 年份：2019 · DOI：10.1101/653105 · 被引用次数：65 · 研究领域：Microbial Natural Products and Biosynthesis、Genomics and Phylogenetic Studies、Bioinformatics and Genomic Networks

Abstract The Critical Assessment of Functional Annotation (CAFA) is an ongoing, global, community-driven effort to evaluate and improve the computational annotation of protein function. Here we report on the results of the third CAFA challenge, CAFA3, that featured an expanded analysis over the previous CAFA rounds, both in terms of volume of data analyzed and the types of analysis performed. In a novel and major new development, computational predictions and assessment goals drove some of the experimental assays, resulting in new functional annotations for more than 1000 genes. Specifically, we performed experimental whole-genome mutation screening in Candida albicans and Pseudomonas aureginosa genomes, which provided us with genome-wide experimental data for genes associated with biofilm formation and motility ( P. aureginosa only). We further performed targeted assays on selected genes in Drosophila melanogaster , which we suspected of being involved in long-term memory. We conclude that, while predictions of the molecular function and biological process annotations have slightly improved over time, those of the cellular component have not. Term-centric prediction of experimental annotations remains equally challenging; although the performance of the top methods is significantly better than expectations set by baseline methods in C. albicans and D. melanogaster , it leaves considerable room and need for improvement. We finally report that the CAFA community now involves a...