Literature DB >> 36049478

Assessing PDB macromolecular crystal structure confidence at the individual amino acid residue level.

Chenghua Shao1, Sebastian Bittrich2, Sijian Wang3, Stephen K Burley4.   

Abstract

Approximately 87% of the more than 190,000 atomic-level three-dimensional (3D) biostructures in the PDB were determined using macromolecular crystallography (MX). Agreement between 3D atomic coordinates and experimental data for >100 million individual amino acid residues occurring within ∼150,000 PDB MX structures was analyzed in detail. The real-space correlation coefficient (RSCC) calculated using the 3D atomic coordinates for each residue and experimental-data-derived electron density enables outlier detection of unreliable atomic coordinates (particularly important for poorly resolved side-chain atoms) and ready evaluation of local structure quality by PDB users. For human protein MX structures in PDB, comparisons of the per-residue RSCC metric with AlphaFold2-computed structure model confidence (pLDDT-predicted local distance difference test) document (1) that RSCC values and pLDDT scores are correlated (median correlation coefficient ∼0.41), and (2) that experimentally determined MX structures (3.5 Å resolution or better) are more reliable than AlphaFold2-computed structure models and should be used preferentially whenever possible.
Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  AlphaFold2; AlphaFoldDB; PDB; Protein Data Bank; RCSB PDB; RSCC; macromolecular structure quality; pLDDT; real-space correlation coefficient; structure confidence

Mesh:

Substances:

Year:  2022        PMID: 36049478      PMCID: PMC9547844          DOI: 10.1016/j.str.2022.08.004

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.871


  41 in total

1.  Crystal structures of Nova-1 and Nova-2 K-homology RNA-binding domains.

Authors:  H A Lewis; H Chen; C Edo; R J Buckanovich; Y Y Yang; K Musunuru; R Zhong; R B Darnell; S K Burley
Journal:  Structure       Date:  1999-02-15       Impact factor: 5.006

2.  1.25 A resolution crystal structures of human haemoglobin in the oxy, deoxy and carbonmonoxy forms.

Authors:  Sam-Yong Park; Takeshi Yokoyama; Naoya Shibayama; Yoshitsugu Shiro; Jeremy R H Tame
Journal:  J Mol Biol       Date:  2006-05-30       Impact factor: 5.469

3.  RCSB Protein Data Bank: Enabling biomedical research and drug discovery.

Authors:  David S Goodsell; Christine Zardecki; Luigi Di Costanzo; Jose M Duarte; Brian P Hudson; Irina Persikova; Joan Segura; Chenghua Shao; Maria Voigt; John D Westbrook; Jasmine Y Young; Stephen K Burley
Journal:  Protein Sci       Date:  2019-11-29       Impact factor: 6.725

4.  Validation of Structures in the Protein Data Bank.

Authors:  Swanand Gore; Eduardo Sanz García; Pieter M S Hendrickx; Aleksandras Gutmanas; John D Westbrook; Huanwang Yang; Zukang Feng; Kumaran Baskaran; John M Berrisford; Brian P Hudson; Yasuyo Ikegawa; Naohiro Kobayashi; Catherine L Lawson; Steve Mading; Lora Mak; Abhik Mukhopadhyay; Thomas J Oldfield; Ardan Patwardhan; Ezra Peisach; Gaurav Sahni; Monica R Sekharan; Sanchayita Sen; Chenghua Shao; Oliver S Smart; Eldon L Ulrich; Reiko Yamashita; Martha Quesada; Jasmine Y Young; Haruki Nakamura; John L Markley; Helen M Berman; Stephen K Burley; Sameer Velankar; Gerard J Kleywegt
Journal:  Structure       Date:  2017-11-22       Impact factor: 5.006

5.  New tools and functions in data-out activities at Protein Data Bank Japan (PDBj).

Authors:  Akira R Kinjo; Gert-Jan Bekker; Hiroshi Wako; Shigeru Endo; Yuko Tsuchiya; Hiromu Sato; Hafumi Nishi; Kengo Kinoshita; Hirofumi Suzuki; Takeshi Kawabata; Masashi Yokochi; Takeshi Iwata; Naohiro Kobayashi; Toshimichi Fujiwara; Genji Kurisu; Haruki Nakamura
Journal:  Protein Sci       Date:  2017-09-18       Impact factor: 6.725

6.  Accurate prediction of protein structures and interactions using a three-track neural network.

Authors:  Minkyung Baek; Frank DiMaio; Ivan Anishchenko; Justas Dauparas; Sergey Ovchinnikov; Gyu Rie Lee; Jue Wang; Qian Cong; Lisa N Kinch; R Dustin Schaeffer; Claudia Millán; Hahnbeom Park; Carson Adams; Caleb R Glassman; Andy DeGiovanni; Jose H Pereira; Andria V Rodrigues; Alberdina A van Dijk; Ana C Ebrecht; Diederik J Opperman; Theo Sagmeister; Christoph Buhlheller; Tea Pavkov-Keller; Manoj K Rathinaswamy; Udit Dalwadi; Calvin K Yip; John E Burke; K Christopher Garcia; Nick V Grishin; Paul D Adams; Randy J Read; David Baker
Journal:  Science       Date:  2021-07-15       Impact factor: 47.728

7.  Critical assessment of protein intrinsic disorder prediction.

Authors:  Marco Necci; Damiano Piovesan; Silvio C E Tosatto
Journal:  Nat Methods       Date:  2021-04-19       Impact factor: 28.547

8.  RCSB Protein Data Bank resources for structure-facilitated design of mRNA vaccines for existing and emerging viral pathogens.

Authors:  David S Goodsell; Stephen K Burley
Journal:  Structure       Date:  2021-11-04       Impact factor: 5.006

9.  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

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