Customized versus universal scoring functions: Application to class I MHC-peptide binding free energy predictions

被引：38

作者：

Logean, A

Sette, A

Rognan, D ^{[1
]}

机构：

[1] UMR 7081, Lab Pharmacochim Commun Cellulaire, F-67401 Illkirch Graffenstaden, France

[2] Epimmune Inc, San Diego, CA 92121 USA

来源：

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS | 2001年 / 11卷 / 05期

关键词：

D O I：

10.1016/S0960-894X(01)00021-X

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

A tailor-made free energy scoring method (Fresno) has been compared to six universal scoring functions (Chemscore, Dock, FlexX, Gold, Pmf, Score) for predicting the binding affinity of 26 peptides to the class I human major histocompatibility protein HLA-B*2705. Fresno clearly outperforms all six universal scoring functions. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：675 / 679

页数：5

共 26 条

[21] Predicting binding affinities of protein ligands from three-dimensional models: Application to peptide binding to class I major histocompatibility proteins [J].