Literature DB >> 25050981

Subangstrom accuracy in pHLA-I modeling by Rosetta FlexPepDock refinement protocol.

Tengfei Liu1, Xianchao Pan, Li Chao, Wen Tan, Sujun Qu, Li Yang, Bochu Wang, Hu Mei.   

Abstract

Flexible peptides binding to human leukocyte antigen (HLA) play a key role in mediating human immune responses and are also involved in idiosyncratic adverse drug reactions according to recent research. However, the structural determinations of pHLA complexes remain challenging under the present conditions. In this paper, the performance of a new peptide docking method, namely FlexPepDock, was systematically investigated by a benchmark of 30 crystallized structures of peptide-HLA class I complexes. The docking results showed that the near-native pHLA-I models with peptide bb-RMSD less than 2 Å were ranked in the top 1 model for 100% (70/70) docking cases, and the subangstrom models with peptide bb-RMSD less than 1 Å were ranked in the top 5 lowest-energy models for 65.7% (46/70) docking cases. Furthermore, 10 out of 70 docking cases ranked the subangstrom all-atom models in the top 5 lowest-energy models. The results showed that the FlexPepDock can generate high-quality models of pHLA-I complexes and can be widely applied to pHLA-I modeling and mechanism research of peptide-mediated immune responses.

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Year:  2014        PMID: 25050981     DOI: 10.1021/ci500393h

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  11 in total

1.  HLA-Arena: A Customizable Environment for the Structural Modeling and Analysis of Peptide-HLA Complexes for Cancer Immunotherapy.

Authors:  Dinler A Antunes; Jayvee R Abella; Sarah Hall-Swan; Didier Devaurs; Anja Conev; Mark Moll; Gregory Lizée; Lydia E Kavraki
Journal:  JCO Clin Cancer Inform       Date:  2020-07

Review 2.  Structural Prediction of Peptide-MHC Binding Modes.

Authors:  Marta A S Perez; Michel A Cuendet; Ute F Röhrig; Olivier Michielin; Vincent Zoete
Journal:  Methods Mol Biol       Date:  2022

3.  Combining Three-Dimensional Modeling with Artificial Intelligence to Increase Specificity and Precision in Peptide-MHC Binding Predictions.

Authors:  Michelle P Aranha; Yead S M Jewel; Robert A Beckman; Louis M Weiner; Julie C Mitchell; Jerry M Parks; Jeremy C Smith
Journal:  J Immunol       Date:  2020-09-02       Impact factor: 5.422

4.  A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations.

Authors:  Jugmohit S Toor; Arjun A Rao; Andrew C McShan; Mark Yarmarkovich; Santrupti Nerli; Karissa Yamaguchi; Ada A Madejska; Son Nguyen; Sarvind Tripathi; John M Maris; Sofie R Salama; David Haussler; Nikolaos G Sgourakis
Journal:  Front Immunol       Date:  2018-01-30       Impact factor: 7.561

5.  DynaDom: structure-based prediction of T cell receptor inter-domain and T cell receptor-peptide-MHC (class I) association angles.

Authors:  Thomas Hoffmann; Antoine Marion; Iris Antes
Journal:  BMC Struct Biol       Date:  2017-02-02

6.  General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept.

Authors:  Dinler A Antunes; Didier Devaurs; Mark Moll; Gregory Lizée; Lydia E Kavraki
Journal:  Sci Rep       Date:  2018-03-12       Impact factor: 4.379

7.  Molecular Docking of SP40 Peptide towards Cellular Receptors for Enterovirus 71 (EV-A71).

Authors:  Malihe Masomian; Salima Lalani; Chit Laa Poh
Journal:  Molecules       Date:  2021-10-30       Impact factor: 4.411

8.  Large-Scale Structure-Based Prediction of Stable Peptide Binding to Class I HLAs Using Random Forests.

Authors:  Jayvee R Abella; Dinler A Antunes; Cecilia Clementi; Lydia E Kavraki
Journal:  Front Immunol       Date:  2020-07-22       Impact factor: 7.561

9.  Structure-Based Modeling of SARS-CoV-2 Peptide/HLA-A02 Antigens.

Authors:  Santrupti Nerli; Nikolaos G Sgourakis
Journal:  Front Med Technol       Date:  2020-11-17

10.  Broadly targeted CD8⁺ T cell responses restricted by major histocompatibility complex E.

Authors:  Scott G Hansen; Helen L Wu; Benjamin J Burwitz; Colette M Hughes; Katherine B Hammond; Abigail B Ventura; Jason S Reed; Roxanne M Gilbride; Emily Ainslie; David W Morrow; Julia C Ford; Andrea N Selseth; Reesab Pathak; Daniel Malouli; Alfred W Legasse; Michael K Axthelm; Jay A Nelson; Geraldine M Gillespie; Lucy C Walters; Simon Brackenridge; Hannah R Sharpe; César A López; Klaus Früh; Bette T Korber; Andrew J McMichael; S Gnanakaran; Jonah B Sacha; Louis J Picker
Journal:  Science       Date:  2016-01-21       Impact factor: 47.728

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