Current Computer-aided Drug Design

杂志介绍

Current Computer-aided Drug Design杂志介绍

《Current Computer-aided Drug Design》是一本以English为主的未开放获取国际优秀期刊，中文名称当前的计算机辅助药物设计，本刊主要出版、报道医学-CHEMISTRY, MEDICINAL领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为1.5，最新CiteScore 指数为3.7。

本刊近期中国学者发表的论文主要有：

• The Application of Machine Learning Techniques in Clinical Drug Therapy.

  Author: Meng HY¹, Jin WL¹, Yan CK¹, Yang H¹.

• A Novel Amino Acid Sequence-based Computational Approach to Predicting Cell-penetrating Peptides.

  Author: Tang J¹, Ning J², Liu X¹, Wu B¹, Hu R³.

• Virtual Screening Strategy Combined Bayesian Classification Model, Molecular Docking for Acetyl-CoA Carboxylases Inhibitors.

  Author: Zhou WN¹, Zhang YM¹, Qiao X¹, Pan J¹, Yin LF¹, Zhu L¹, Zhao JN¹, Lu S¹, Lu T^1,2, Chen YD¹, Liu HC¹.

• Virtual Screening for Type ⅡB Inhibitors of B-RafV600E Kinase.

  Author: Qiu KX¹, Zhang W¹, Yu F¹, Li W¹, Sun ZW¹, Zhang SQ², Chen YJ¹, Xie HD¹.

英文介绍

Current Computer-aided Drug Design杂志英文介绍

Aims & Scope

Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design.

Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.