Literature DB >> 8254656

Computing the structure of bound peptides. Application to antigen recognition by class I major histocompatibility complex receptors.

R Rosenfeld1, Q Zheng, S Vajda, C DeLisi.   

Abstract

The ability to accurately compute the atomic positions of substrate-bound ligands is central to understanding biological recognition. Although substantial progress has been made in docking small, relatively rigid ligands, the problem of docking flexible peptides remains open. In this communication we present a new method that allows configurational flexibility of peptides, and apply it to predict the conformation of peptides bound to two class-I major histocompatibility complex receptors: human HLA-A2, and murine H-2Kb. Using only the approximate locations of the amino and carboxyl-terminal residues of the bound peptide, our calculations yield structures with backbone conformations that are similar to structures reported crystallographically.

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Year:  1993        PMID: 8254656     DOI: 10.1006/jmbi.1993.1607

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  15 in total

1.  Modeling of loops in protein structures.

Authors:  A Fiser; R K Do; A Sali
Journal:  Protein Sci       Date:  2000-09       Impact factor: 6.725

2.  Modeling the structure of bound peptide ligands to major histocompatibility complex.

Authors:  Joo Chuan Tong; Tin Wee Tan; Shoba Ranganathan
Journal:  Protein Sci       Date:  2004-09       Impact factor: 6.725

3.  Optimization of the GB/SA solvation model for predicting the structure of surface loops in proteins.

Authors:  Agnieszka Szarecka; Hagai Meirovitch
Journal:  J Phys Chem B       Date:  2006-02-16       Impact factor: 2.991

4.  Minimalist explicit solvation models for surface loops in proteins.

Authors:  Ronald P White; Hagai Meirovitch
Journal:  J Chem Theory Comput       Date:  2006       Impact factor: 6.006

5.  Free energy mapping of class I MHC molecules and structural determination of bound peptides.

Authors:  U Sezerman; S Vajda; C DeLisi
Journal:  Protein Sci       Date:  1996-07       Impact factor: 6.725

6.  Large-scale characterization of peptide-MHC binding landscapes with structural simulations.

Authors:  Chen Yanover; Philip Bradley
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-08       Impact factor: 11.205

7.  A molecular dynamics study of Fe2S2 putidaredoxin: multiple conformations of the C-terminal region.

Authors:  A E Roitberg
Journal:  Biophys J       Date:  1997-10       Impact factor: 4.033

8.  Prediction of peptide binding to a major histocompatibility complex class I molecule based on docking simulation.

Authors:  Takeshi Ishikawa
Journal:  J Comput Aided Mol Des       Date:  2016-09-13       Impact factor: 3.686

9.  pDOCK: a new technique for rapid and accurate docking of peptide ligands to Major Histocompatibility Complexes.

Authors:  Javed Mohammed Khan; Shoba Ranganathan
Journal:  Immunome Res       Date:  2010-09-27

10.  T-cell epitope prediction and immune complex simulation using molecular dynamics: state of the art and persisting challenges.

Authors:  Matthew N Davies; Darren R Flower; Kanchan Phadwal; Isabel K Macdonald; Peter V Coveney; Shunzhou Wan
Journal:  Immunome Res       Date:  2010-11-03
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