Icolos: a workflow manager for structure-based post-processing of de novo generated small molecules
Journal article, 2022

A Summary: We present Icolos, a workflow manager written in Python as a tool for automating complex structure-based workflows for drug design. Icolos can be used as a standalone tool, for example in virtual screening campaigns, or can be used in conjunction with deep learning-based molecular generation facilitated for example by REINVENT, a previously published molecular de novo design package. In this publication, we focus on the internal structure and general capabilities of Icolos, using molecular docking experiments as an illustrative example.

Author

J. Harry Moore

AstraZeneca AB

Matthias R. Bauer

AstraZeneca AB

Jeff Guo

AstraZeneca AB

Atanas Patronov

AstraZeneca AB

Ola Engkvist

AstraZeneca AB

Chalmers, Computer Science and Engineering (Chalmers)

Christian Margreitter

AstraZeneca AB

Bioinformatics

1367-4803 (ISSN) 13674811 (eISSN)

Vol. 38 21 4951-4952

Subject Categories

Other Engineering and Technologies not elsewhere specified

Interaction Technologies

Information Science

DOI

10.1093/bioinformatics/btac614

PubMed

36073898

More information

Latest update

3/7/2024 9