open access

https://hdl.handle.net/2115/44453

An automated ligand evolution system using Bayesian optimization algorithm

英語

Bayesian optimization algorithms

2009-05

World Scientific and Engineering Academy and Society

WSEAS Transactions on Information Science and Applications

6(5)

788-797

Ligand docking checks whether a drug chemical called ligand matches the target receptor protein of human organ or not. Docking by computer simulation is becoming popular in drug design process to reduce cost and time of the chemical experiments. This paper presents a novel approach generating optimal ligand structures from scratch based on de novo ligand design approach employing Bayesian optimization algorithm to realize an automated design of drug and other chemical structures. The proposed approach searches an optimal structure of ligand that minimizes bond energy to the receptor protein, and the structure of ligand is generated by adding small fragments of molecules to the base structure. The decision of adding fragments are controlled by Bayesian optimization algorithm which is considered as a promising approach in probabilistic model-building genetic algorithms. We have built a system that automatically generates an optimal structure of ligand, and through numerical experiments performed on a PC cluster, we show the effectiveness of our approach compared to the conventional approach using classical genetic algorithms.

学術雑誌論文

Accepted Manuscript

©World Scientific and Engineering Academy and Society

1790-0832