Literature DB >> 26889875

Assessment of CASP11 contact-assisted predictions.

Lisa N Kinch1, Wenlin Li2,3, Bohdan Monastyrskyy4, Andriy Kryshtafovych4, Nick V Grishin5,2,3.   

Abstract

We present an overview of contact-assisted predictions in the eleventh round of critical assessment of protein structure prediction (CASP11), which included four categories: predicted contacts (Tp), correct contacts (Tc), simulated sparse NMR contacts (Ts), and cross-linking contacts (Tx). Comparison of assisted to unassisted model quality highlighted a relatively poor overall performance in CASP11 using predicted Tp and crosslinked Tx contact information. However, average model quality significantly improved in the correct Tc and simulated NMR Ts categories for most targets, where maximum improvement of unassisted models reached an impressive 70 GDT_TS. Comparison of the performance in the correct Tc category to CASP10 suggested the improvement in CASP11 model quality originated from an increased number of provided contacts per target. Group rankings based on a combination of scores used in the CASP11 free modeling (FM) assessment for each category highlight four top-performing groups, with three from the Lee lab and one from the Baker lab. We used the overall performance of these groups in each category to develop hypotheses for their relative outperformance in the correct Tc and simulated NMR Ts categories, which stemmed from the fraction of correct contacts provided (correct Tc category) and a reduced fraction of correct contacts offset by an increased coverage of the correct contacts (simulated NMR Ts category). Proteins 2016; 84(Suppl 1):164-180.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP11; contact-assisted; protein structure prediction

Mesh:

Substances:

Year:  2016        PMID: 26889875      PMCID: PMC5485253          DOI: 10.1002/prot.25020

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


  19 in total

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4.  Assessment of CASP7 predictions for template-based modeling targets.

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5.  Assessment of CASP8 structure predictions for template free targets.

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6.  Crystallography & NMR system: A new software suite for macromolecular structure determination.

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7.  New encouraging developments in contact prediction: Assessment of the CASP11 results.

Authors:  Bohdan Monastyrskyy; Daniel D'Andrea; Krzysztof Fidelis; Anna Tramontano; Andriy Kryshtafovych
Journal:  Proteins       Date:  2015-11-17

8.  CASP9 assessment of free modeling target predictions.

Authors:  Lisa Kinch; Shuo Yong Shi; Qian Cong; Hua Cheng; Yuxing Liao; Nick V Grishin
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9.  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
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10.  Evaluation of free modeling targets in CASP11 and ROLL.

Authors:  Lisa N Kinch; Wenlin Li; Bohdan Monastyrskyy; Andriy Kryshtafovych; Nick V Grishin
Journal:  Proteins       Date:  2016-01-20
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  9 in total

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3.  Protein structure prediction assisted with sparse NMR data in CASP13.

Authors:  Davide Sala; Yuanpeng Janet Huang; Casey A Cole; David A Snyder; Gaohua Liu; Yojiro Ishida; G V T Swapna; Kelly P Brock; Chris Sander; Krzysztof Fidelis; Andriy Kryshtafovych; Masayori Inouye; Roberto Tejero; Homayoun Valafar; Antonio Rosato; Gaetano T Montelione
Journal:  Proteins       Date:  2019-12

4.  Improved protein contact predictions with the MetaPSICOV2 server in CASP12.

Authors:  Daniel W A Buchan; David T Jones
Journal:  Proteins       Date:  2017-09-29

5.  Identification of residue pairing in interacting β-strands from a predicted residue contact map.

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6.  EigenTHREADER: analogous protein fold recognition by efficient contact map threading.

Authors:  Daniel W A Buchan; David T Jones
Journal:  Bioinformatics       Date:  2017-09-01       Impact factor: 6.937

7.  In silico prediction of structure and function for a large family of transmembrane proteins that includes human Tmem41b.

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Journal:  F1000Res       Date:  2020-12-03

8.  Estimation of Uncertainties in the Global Distance Test (GDT_TS) for CASP Models.

Authors:  Wenlin Li; R Dustin Schaeffer; Zbyszek Otwinowski; Nick V Grishin
Journal:  PLoS One       Date:  2016-05-05       Impact factor: 3.240

9.  RDb2C2: an improved method to identify the residue-residue pairing in β strands.

Authors:  Di Shao; Wenzhi Mao; Yaoguang Xing; Haipeng Gong
Journal:  BMC Bioinformatics       Date:  2020-04-03       Impact factor: 3.169

  9 in total

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