Accurate calculation of the absolute free energy of binding for drug molecules

被引:240
作者
Aldeghi, Matteo [1 ]
Heifetz, Alexander [2 ]
Bodkin, Michael J. [2 ]
Knappcd, Stefan [3 ,4 ]
Biggin, Philip C. [1 ]
机构
[1] Univ Oxford, Dept Biochem, Struct Bioinformat & Computat Biochem, Oxford OX1 3QU, England
[2] Evotec UK Ltd, Abingdon OX14 4RZ, Oxon, England
[3] Univ Oxford, Nuffield Dept Clin Med, Struct Genom Consortium, Oxford OX3 7DQ, England
[4] Univ Oxford, Nuffield Dept Clin Med, Target Discovery Inst, Oxford OX3 7BN, England
基金
英国工程与自然科学研究理事会; 加拿大创新基金会; 英国惠康基金;
关键词
FORCE-FIELD; TARGETING BROMODOMAINS; HIGH-THROUGHPUT; DYNAMICS; EFFICIENT; INHIBITORS; DISCOVERY; AFFINITY; MODEL; PARAMETERIZATION;
D O I
10.1039/c5sc02678d
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Accurate prediction of binding affinities has been a central goal of computational chemistry for decades, yet remains elusive. Despite good progress, the required accuracy for use in a drug-discovery context has not been consistently achieved for drug-like molecules. Here, we perform absolute free energy calculations based on a thermodynamic cycle for a set of diverse inhibitors binding to bromodomain-containing protein 4 (BRD4) and demonstrate that a mean absolute error of 0.6 kcal mol(-1) can be achieved. We also show a similar level of accuracy (1.0 kcal mol(-1)) can be achieved in pseudo prospective approach. Bromodomains are epigenetic mark readers that recognize acetylation motifs and regulate gene transcription, and are currently being investigated as therapeutic targets for cancer and inflammation. The unprecedented accuracy offers the exciting prospect that the binding free energy of drug-like compounds can be predicted for pharmacologically relevant targets.
引用
收藏
页码:207 / 218
页数:12
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