Literature DB >> 3449860

Predicting antibody hypervariable loop conformations. II: Minimization and molecular dynamics studies of MCPC603 from many randomly generated loop conformations.

R M Fine1, H Wang, P S Shenkin, D L Yarmush, C Levinthal.   

Abstract

We describe a method for predicting the conformations of loops in proteins and its application to four of the complementarity determining regions [CDRs] in the crystallographically determined structure of MCPC603. The method is based on the generation of a large number of randomly generated conformations for the backbone of the loop being studied, followed by either minimization or molecular dynamics followed by minimization starting from these random structures. The details of the algorithm for the generation of the loops are presented in the first paper in this series (Shenkin et al. [submitted]). The results of minimization and molecular dynamics applied to these loops is presented here. For the two shortest CDRs studied (H1 and L2, which are five and seven amino acids long), minimizations and dynamics simulations which ignore interactions of the loop amino acids beyond the carbon beta replicate the conformation of the crystal structure closely. This suggests that these loops fold independently of sequence variation. For the third CDR (L3, which is nine amino acids), those portions of the CDR near its base which are hydrogen bonded to framework are well replicated by our procedures, but the top of the loop shows significant conformational variability. This variability persists when side chain interactions for the MCPC603 sequence are included. For a fourth CDR (H3, which is 11 amino acids long), new low-energy backbone conformations are found; however, only those which are close to the crystal are compatible with the sequence when side chain interactions are taken into account. Results from minimization and dynamics on single CDRs with all other CDRs removed are presented. These allow us to explore the extent to which individual CDR conformations are determined by interactions with framework only.

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Year:  1986        PMID: 3449860     DOI: 10.1002/prot.340010408

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


  41 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.  Cyclic coordinate descent: A robotics algorithm for protein loop closure.

Authors:  Adrian A Canutescu; Roland L Dunbrack
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

3.  Probing the structure of falcipain-3, a cysteine protease from Plasmodium falciparum: comparative protein modeling and docking studies.

Authors:  Yogesh A Sabnis; Prashant V Desai; Philip J Rosenthal; Mitchell A Avery
Journal:  Protein Sci       Date:  2003-03       Impact factor: 6.725

4.  Protein loop closure using orientational restraints from NMR data.

Authors:  Chittaranjan Tripathy; Jianyang Zeng; Pei Zhou; Bruce Randall Donald
Journal:  Proteins       Date:  2011-12-13

5.  Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.

Authors:  Chi Zhang; Song Liu; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

6.  Protein loop modeling by using fragment assembly and analytical loop closure.

Authors:  Julian Lee; Dongseon Lee; Hahnbeom Park; Evangelos A Coutsias; Chaok Seok
Journal:  Proteins       Date:  2010-09-24

7.  Ab initio construction of all-atom loop conformations.

Authors:  Haiyan Jiang; Christian Blouin
Journal:  J Mol Model       Date:  2005-10-25       Impact factor: 1.810

8.  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

9.  LEAP: highly accurate prediction of protein loop conformations by integrating coarse-grained sampling and optimized energy scores with all-atom refinement of backbone and side chains.

Authors:  Shide Liang; Chi Zhang; Yaoqi Zhou
Journal:  J Comput Chem       Date:  2013-12-10       Impact factor: 3.376

10.  Prediction of protein loop structures using a local move Monte Carlo approach and a grid-based force field.

Authors:  Meng Cui; Mihaly Mezei; Roman Osman
Journal:  Protein Eng Des Sel       Date:  2008-10-27       Impact factor: 1.650

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