TeachopenCadd: A teaching platform for computer-aided drug design using open source packages and data

36Citations
Citations of this article
169Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Owing to the increase in freely available software and data for cheminformatics and structural bioinformatics, research for computer-aided drug design (CADD) is more and more built on modular, reproducible, and easy-to-share pipelines. While documentation for such tools is available, there are only a few freely accessible examples that teach the underlying concepts focused on CADD, especially addressing users new to the field. Here, we present TeachOpenCADD, a teaching platform developed by students for students, using open source compound and protein data as well as basic and CADD-related Python packages. We provide interactive Jupyter notebooks for central CADD topics, integrating theoretical background and practical code. TeachOpenCADD is freely available on GitHub: https://github.com/volkamerlab/TeachOpenCADD.

Cite

CITATION STYLE

APA

Sydow, D., Morger, A., Driller, M., & Volkamer, A. (2019). TeachopenCadd: A teaching platform for computer-aided drug design using open source packages and data. Journal of Cheminformatics, 11(1). https://doi.org/10.1186/s13321-019-0351-x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free