LiveBench-6: Large-scale automated evaluation of protein structure prediction servers

被引:51
|
作者
Rychlewski, L
Fischer, D
Elofsson, A
机构
[1] BioInfoBank Inst, Bioinformat Lab, PL-60744 Poznan, Poland
[2] Ben Gurion Univ Negev, Dept Comp Sci, IL-84105 Beer Sheva, Israel
[3] Stockholm Univ, Stockholm Bioinformat Ctr, S-10691 Stockholm, Sweden
关键词
protein structure prediction; consensus fold recognition; CAFASP; Meta-Server; ToolShop; LiveBench;
D O I
10.1002/prot.10535
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The aim of the LiveBench experiment is to provide a continuous evaluation of structure prediction servers in order to inform potential users about the current state-of-the-art structure prediction tools and in order to help the developers to analyze and improve the services. This round of the experiment was conducted in parallel to the blind CAFASP-3 evaluation experiment. The data collected almost simultaneously enables the comparison of servers on two different benchmark sets. The number of servers has doubled from the last evaluated LiveBench-4 experiment completed in April 2002, just before the beginning of CAFASP-3. This can be partially attributed to the rapid development in the area of meta-predictors (consensus servers). The current results confirm the high sensitivity and specificity of the meta-predictors. Nevertheless, the comparison between the autonomous (not meta) servers participating in the last CAFASP-2 and LiveBench-2 experiment and the current set of autonomous servers demonstrates that progress has been made also in sequence structure fitting functions.-In addition to the growing number of participants, the current experiment marks the introduction of new evaluation procedures, which are aimed to correlate better with functional characteristics of models. (C) 2003 Wiley-Liss, Inc.
引用
收藏
页码:542 / 547
页数:6
相关论文
共 50 条
  • [1] LiveBench-2: Large-scale automated evaluation of protein structure prediction servers
    Bujnicki, JM
    Elofsson, A
    Fischer, D
    Rychlewski, L
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2001, : 184 - 191
  • [2] LiveBench-8: The large-scale, continuous assessment of automated protein structure prediction
    Rychlewski, L
    Fischer, D
    PROTEIN SCIENCE, 2005, 14 (01) : 240 - 245
  • [3] LiveBench-1: Continuous benchmarking of protein structure prediction servers
    Bujnicki, JM
    Elofsson, A
    Fischer, D
    Rychlewski, L
    PROTEIN SCIENCE, 2001, 10 (02) : 352 - 361
  • [4] A large-scale evaluation of computational protein function prediction
    Radivojac P.
    Clark W.T.
    Oron T.R.
    Schnoes A.M.
    Wittkop T.
    Sokolov A.
    Graim K.
    Funk C.
    Verspoor K.
    Ben-Hur A.
    Pandey G.
    Yunes J.M.
    Talwalkar A.S.
    Repo S.
    Souza M.L.
    Piovesan D.
    Casadio R.
    Wang Z.
    Cheng J.
    Fang H.
    Gough J.
    Koskinen P.
    Törönen P.
    Nokso-Koivisto J.
    Holm L.
    Cozzetto D.
    Buchan D.W.A.
    Bryson K.
    Jones D.T.
    Limaye B.
    Inamdar H.
    Datta A.
    Manjari S.K.
    Joshi R.
    Chitale M.
    Kihara D.
    Lisewski A.M.
    Erdin S.
    Venner E.
    Lichtarge O.
    Rentzsch R.
    Yang H.
    Romero A.E.
    Bhat P.
    Paccanaro A.
    Hamp T.
    Kaßner R.
    Seemayer S.
    Vicedo E.
    Schaefer C.
    Nature Methods, 2013, 10 (3) : 221 - 227
  • [5] A large-scale evaluation of computational protein function prediction
    Radivojac, Predrag
    Clark, Wyatt T.
    Oron, Tal Ronnen
    Schnoes, Alexandra M.
    Wittkop, Tobias
    Sokolov, Artem
    Graim, Kiley
    Funk, Christopher
    Verspoor, Karin
    Ben-Hur, Asa
    Pandey, Gaurav
    Yunes, Jeffrey M.
    Talwalkar, Ameet S.
    Repo, Susanna
    Souza, Michael L.
    Piovesan, Damiano
    Casadio, Rita
    Wang, Zheng
    Cheng, Jianlin
    Fang, Hai
    Goughl, Julian
    Koskinen, Patrik
    Toronen, Petri
    Nokso-Koivisto, Jussi
    Holm, Liisa
    Cozzetto, Domenico
    Buchan, Daniel W. A.
    Bryson, Kevin
    Jones, David T.
    Limaye, Bhakti
    Inamdar, Harshal
    Datta, Avik
    Manjari, Sunitha K.
    Joshi, Rajendra
    Chitale, Meghana
    Kihara, Daisuke
    Lisewski, Andreas M.
    Erdin, Serkan
    Venner, Eric
    Lichtarge, Olivier
    Rentzsch, Robert
    Yang, Haixuan
    Romero, Alfonso E.
    Bhat, Prajwal
    Paccanaro, Alberto
    Hamp, Tobias
    Kassner, Rebecca
    Seemayer, Stefan
    Vicedo, Esmeralda
    Schaefer, Christian
    NATURE METHODS, 2013, 10 (03) : 221 - 227
  • [6] Automated large scale evaluation of protein structure predictions
    Lackner, P
    Koppensteiner, WA
    Domingues, FS
    Sippl, MJ
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 1999, : 7 - 14
  • [7] EVA:: evaluation of protein structure prediction servers
    Koh, IYY
    Eyrich, VA
    Marti-Renom, MA
    Przybylski, D
    Madhusudhan, MS
    Eswar, N
    Graña, O
    Pazos, F
    Valencia, A
    Sali, A
    Rost, B
    NUCLEIC ACIDS RESEARCH, 2003, 31 (13) : 3311 - 3315
  • [8] Large-scale prediction of protein structure and function from sequence
    Tosatto, S. C. E.
    Toppo, S.
    CURRENT PHARMACEUTICAL DESIGN, 2006, 12 (17) : 2067 - 2086
  • [9] Integrating Large-Scale Protein Structure Prediction into Human Genetics Research
    Marrero, Miguel Correa
    Janes, Jurgen
    Baptista, Delora
    Beltrao, Pedro
    ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, 2024, 25 : 123 - 140
  • [10] A LARGE-SCALE EXPERIMENT TO ASSESS PROTEIN-STRUCTURE PREDICTION METHODS
    MOULT, J
    PEDERSEN, JT
    JUDSON, R
    FIDELIS, K
    PROTEINS-STRUCTURE FUNCTION AND GENETICS, 1995, 23 (03): : R2 - R4