Dong Jie, Cao Dong-Sheng, Miao Hong-Yu, Liu Shao, Deng Bai-Chuan, Yun Yong-Huan, Wang Ning-Ning, Lu Ai-Ping, Zeng Wen-Bin, Chen Alex F
School of Pharmaceutical Sciences, Central South University, Changsha, 410013 Hunan People's Republic of China.
Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, Houston, USA.
J Cheminform. 2015 Dec 9;7:60. doi: 10.1186/s13321-015-0109-z. eCollection 2015.
Molecular descriptors and fingerprints have been routinely used in QSAR/SAR analysis, virtual drug screening, compound search/ranking, drug ADME/T prediction and other drug discovery processes. Since the calculation of such quantitative representations of molecules may require substantial computational skills and efforts, several tools have been previously developed to make an attempt to ease the process. However, there are still several hurdles for users to overcome to fully harness the power of these tools. First, most of the tools are distributed as standalone software or packages that require necessary configuration or programming efforts of users. Second, many of the tools can only calculate a subset of molecular descriptors, and the results from multiple tools need to be manually merged to generate a comprehensive set of descriptors. Third, some packages only provide application programming interfaces and are implemented in different computer languages, which pose additional challenges to the integration of these tools.
A freely available web-based platform, named ChemDes, is developed in this study. It integrates multiple state-of-the-art packages (i.e., Pybel, CDK, RDKit, BlueDesc, Chemopy, PaDEL and jCompoundMapper) for computing molecular descriptors and fingerprints. ChemDes not only provides friendly web interfaces to relieve users from burdensome programming work, but also offers three useful and convenient auxiliary tools for format converting, MOPAC optimization and fingerprint similarity calculation. Currently, ChemDes has the capability of computing 3679 molecular descriptors and 59 types of molecular fingerprints.
ChemDes provides users an integrated and friendly tool to calculate various molecular descriptors and fingerprints. It is freely available at http://www.scbdd.com/chemdes. The source code of the project is also available as a supplementary file. Graphical abstract:An overview of ChemDes. A platform for computing various molecular descriptors and fingerprints.
分子描述符和指纹已常规用于定量构效关系/构性关系(QSAR/SAR)分析、虚拟药物筛选、化合物搜索/排序、药物吸收、分布、代谢和排泄/毒性(ADME/T)预测以及其他药物发现过程。由于计算这些分子的定量表示可能需要大量的计算技能和精力,此前已开发了多种工具来尝试简化这一过程。然而,用户要充分利用这些工具的功能仍需克服几个障碍。首先,大多数工具以独立软件或软件包的形式分发,需要用户进行必要的配置或编程工作。其次,许多工具只能计算分子描述符的一个子集,多个工具的结果需要手动合并才能生成一组全面的描述符。第三,一些软件包只提供应用程序编程接口,并且用不同的计算机语言实现,这给这些工具的集成带来了额外的挑战。
本研究开发了一个名为ChemDes的免费基于网络的平台。它集成了多个用于计算分子描述符和指纹的先进软件包(即Pybel、CDK、RDKit、BlueDesc、Chemopy、PaDEL和jCompoundMapper)。ChemDes不仅提供友好的网络界面,使用户从繁重的编程工作中解脱出来,还提供了三个有用且方便的辅助工具,用于格式转换、MOPAC优化和指纹相似性计算。目前,ChemDes能够计算3679个分子描述符和59种分子指纹。
ChemDes为用户提供了一个用于计算各种分子描述符和指纹的集成且友好的工具。可通过http://www.scbdd.com/chemdes免费获取。该项目的源代码也作为补充文件提供。图形摘要:ChemDes概述。一个用于计算各种分子描述符和指纹的平台。