Antibody H3 Structure Prediction

被引：42
|
作者：
Marks, C. [1 ]
Deane, C. M. [1 ]
机构：
[1] Univ Oxford, Dept Stat, 24-29 St Giles, Oxford OX1 3LB, England
来源：
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL | 2017年 / 15卷
基金：
英国工程与自然科学研究理事会;
关键词：
Antibodies; H3; Loop modelling; Protein structure prediction; PROTEIN-STRUCTURE PREDICTION; LOOP PREDICTION; COMPUTATIONAL DESIGN; HOMOLOGOUS PROTEINS; MODELING ASSESSMENT; COMBINED ALGORITHM; VARIABLE REGIONS; ACCURATE; ENERGY; CLASSIFICATION;
D O I：
10.1016/j.csbj.2017.01.010
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Antibodies are proteins of the immune system that are able to bind to a huge variety of different substances, making them attractive candidates for therapeutic applications. Antibody structures have the potential to be useful during drug development, allowing the implementation of rational design procedures. The most challenging part of the antibody structure to experimentally determine or model is the H3 loop, which in addition is often the most important region in an antibody's binding site. This review summarises the approaches used so far in the pursuit of accurate computational H3 structure prediction. (C) 2017 The Authors. Published by Elsevier B.V.
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页码：222 / 231
页数：10
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