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
  • [31] Performance evaluation of large scale Web servers
    Liu, L.L.
    Fan, J.P.
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2001, 38 (07):
  • [32] Large-scale prediction of protein-protein interactions from structures
    Martial Hue
    Michael Riffle
    Jean-Philippe Vert
    William S Noble
    BMC Bioinformatics, 11
  • [33] Large-scale prediction of protein-protein interactions from structures
    Hue, Martial
    Riffle, Michael
    Vert, Jean-Philippe
    Noble, William S.
    BMC BIOINFORMATICS, 2010, 11
  • [34] ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design
    Notin, Pascal
    Kollasch, Aaron W.
    Ritter, Daniel
    van Niekerk, Lood
    Paul, Steffanie
    Spinner, Hansen
    Rollins, Nathan
    Shaw, Ada
    Weitzman, Ruben
    Frazer, Jonathan
    Dias, Mafalda
    Franceschi, Dinko
    Frazer, Jonathan
    Dias, Mafalda
    Franceschi, Dinko
    Orenbuch, Rose
    Gal, Yarin
    Marks, Debora S.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [35] Large-scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants
    Rifaioglu, Ahmet Sureyya
    Dogan, Tunca
    Sarac, Omer Sinan
    Ersahin, Tulin
    Saidi, Rabie
    Atalay, Mehmet Volkan
    Martin, Maria Jesus
    Cetin-Atalay, Rengul
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2018, 86 (02) : 135 - 151
  • [36] A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite
    Fraser, Gordon
    Arcuri, Andrea
    ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 2014, 24 (02)
  • [37] bpRNA: large-scale automated annotation and analysis of RNA secondary structure
    Danaee, Padideh
    Rouches, Mason
    Wiley, Michelle
    Deng, Dezhong
    Huang, Liang
    Hendrix, David
    NUCLEIC ACIDS RESEARCH, 2018, 46 (11) : 5381 - 5394
  • [38] Large-scale evaluation of protein reductive methylation for improving protein crystallization
    Youngchang Kim
    Pearl Quartey
    Hui Li
    Lour Volkart
    Catherine Hatzos
    Changsoo Chang
    Boguslaw Nocek
    Marianne Cuff
    Jerzy Osipiuk
    Kemin Tan
    Yao Fan
    Lance Bigelow
    Natalia Maltseva
    Ruiying Wu
    Maria Borovilos
    Erika Duggan
    Min Zhou
    T Andrew Binkowski
    Rong-guang Zhang
    Andrzej Joachimiak
    Nature Methods, 2008, 5 : 853 - 854
  • [39] Large-scale evaluation of protein reductive methylation for improving protein crystallization
    Kim, Youngchang
    Quartey, Pearl
    Li, Hui
    Volkart, Lour
    Hatzos, Catherine
    Chang, Changsoo
    Nocek, Boguslaw
    Cuff, Marianne
    Osipiuk, Jerzy
    Tan, Kemin
    Fan, Yao
    Bigelow, Lance
    Maltseva, Natalia
    Wu, Ruiying
    Borovilos, Maria
    Duggan, Erika
    Zhou, Min
    Binkowski, T. Andrew
    Zhang, Rong-Guang
    Joachimiak, Andrzej
    NATURE METHODS, 2008, 5 (10) : 853 - 854
  • [40] Improving protein crystallization: A large-scale evaluation of protein reductive methylation
    Kim, Youngchang
    Quartey, Pearl
    Volkart, Lour
    Hatzos, Catherine
    Chang, Changsoo
    Nocek, Boguslaw
    Cuff, Marianne
    Osipiuk, Jerzy
    Tan, Kemin
    Fan, Yao
    Bigelow, Lance
    Maltseva, Natalia
    Wu, Ruiying
    Borovilos, Maria
    Duggan, Erika
    Li, Hui
    Zhou, Min
    Binkowski, Andrew
    Zheng, Rongguang
    Joachimiak, Andrzej
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2008, 64 : C240 - C241