Current Computer-aided Drug Design

雜志介紹

Current Computer-aided Drug Design雜志介紹

《Current Computer-aided Drug Design》是一本以English為主的未開放獲取國際優秀期刊，中文名稱當前的計算機輔助藥物設計，本刊主要出版、報道醫學-CHEMISTRY, MEDICINAL領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.5，最新CiteScore 指數為3.7。

本刊近期中國學者發表的論文主要有：

• 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.

英文介紹

Current Computer-aided Drug Design雜志英文介紹

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.