Literature DB >> 34455641

Assessment of domain interactions in the fourteenth round of the Critical Assessment of Structure Prediction (CASP14).

R Dustin Schaeffer1, Lisa Kinch2, Andriy Kryshtafovych3, Nick V Grishin1,2.   

Abstract

The high accuracy of some CASP14 models at the domain level prompted a more detailed evaluation of structure predictions on whole targets. For the first time in critical assessment of structure prediction (CASP), we evaluated accuracy of difficult domain assembly in models submitted for multidomain targets where the community predicted individual evaluation units (EUs) with greater accuracy than full-length targets. Ten proteins with domain interactions that did not show evidence of conformational change and were not involved in significant oligomeric contacts were chosen as targets for the domain interaction assessment. Groups were ranked using complementary interaction scores (F1, QS score, and Jaccard coefficient), and their predictions were evaluated for their ability to correctly model inter-domain interfaces and overall protein folds. Target performance was broadly grouped into two clusters. The first consisted primarily of targets containing two EUs wherein predictors more broadly predicted domain positioning and interfacial contacts correctly. The other consisted of complex two-EU and three-EU targets where few predictors performed well. The highest ranked predictor, AlphaFold2, produced high-accuracy models on eight out of 10 targets. Their interdomain scores on three of these targets were significantly higher than all other groups and were responsible for their overall outperformance in the category. We further highlight the performance of AlphaFold2 and the next best group, BAKER-experimental on several interesting targets.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  CASP14; classification; fold space; protein domains; protein structure; protein-protein interactions; sequence homologs multidomain proteins; structure prediction

Mesh:

Substances:

Year:  2021        PMID: 34455641      PMCID: PMC8616818          DOI: 10.1002/prot.26225

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  17 in total

1.  LGA: A method for finding 3D similarities in protein structures.

Authors:  Adam Zemla
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  A large-scale experiment to assess protein structure prediction methods.

Authors:  J Moult; J T Pedersen; R Judson; K Fidelis
Journal:  Proteins       Date:  1995-11

3.  Processing and analysis of CASP3 protein structure predictions.

Authors:  A Zemla; C Venclovas; J Moult; K Fidelis
Journal:  Proteins       Date:  1999

4.  Assessment of protein assembly prediction in CASP13.

Authors:  Dmytro Guzenko; Aleix Lafita; Bohdan Monastyrskyy; Andriy Kryshtafovych; Jose M Duarte
Journal:  Proteins       Date:  2019-08-27

5.  Assessment of protein assembly prediction in CASP12.

Authors:  Aleix Lafita; Spencer Bliven; Andriy Kryshtafovych; Martino Bertoni; Bohdan Monastyrskyy; Jose M Duarte; Torsten Schwede; Guido Capitani
Journal:  Proteins       Date:  2017-11-08

6.  ProQ3D: improved model quality assessments using deep learning.

Authors:  Karolis Uziela; David Menéndez Hurtado; Nanjiang Shu; Björn Wallner; Arne Elofsson
Journal:  Bioinformatics       Date:  2017-05-15       Impact factor: 6.937

7.  ECOD: an evolutionary classification of protein domains.

Authors:  Hua Cheng; R Dustin Schaeffer; Yuxing Liao; Lisa N Kinch; Jimin Pei; Shuoyong Shi; Bong-Hyun Kim; Nick V Grishin
Journal:  PLoS Comput Biol       Date:  2014-12-04       Impact factor: 4.475

8.  Modeling protein quaternary structure of homo- and hetero-oligomers beyond binary interactions by homology.

Authors:  Martino Bertoni; Florian Kiefer; Marco Biasini; Lorenza Bordoli; Torsten Schwede
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

9.  The evolutionary history of protein domains viewed by species phylogeny.

Authors:  Song Yang; Philip E Bourne
Journal:  PLoS One       Date:  2009-12-21       Impact factor: 3.240

10.  lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests.

Authors:  Valerio Mariani; Marco Biasini; Alessandro Barbato; Torsten Schwede
Journal:  Bioinformatics       Date:  2013-08-27       Impact factor: 6.937

View more
  3 in total

1.  Critical assessment of methods of protein structure prediction (CASP)-Round XIV.

Authors:  Andriy Kryshtafovych; Torsten Schwede; Maya Topf; Krzysztof Fidelis; John Moult
Journal:  Proteins       Date:  2021-10-07

2.  Modeling of protein conformational changes with Rosetta guided by limited experimental data.

Authors:  Davide Sala; Diego Del Alamo; Hassane S Mchaourab; Jens Meiler
Journal:  Structure       Date:  2022-05-20       Impact factor: 5.871

3.  Structural validation and assessment of AlphaFold2 predictions for centrosomal and centriolar proteins and their complexes.

Authors:  Mark van Breugel; Ivan Rosa E Silva; Antonina Andreeva
Journal:  Commun Biol       Date:  2022-04-05
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.