Data for: Deep Ranking Analysis by Power Eigenvectors (DRAPE): a polypharmacology case study

Published: 4 July 2020| Version 1 | DOI: 10.17632/ccfs55wdjm.1
Contributors:
Roberto Todeschini, Viviana Consonni, davide ballabio, Cecile Valsecchi

Description

A dataset comprising 55 molecules described by seven criteria was used. The criteria are composed of binding activity values for each target expressed as half maximal activity concentration (AC50), based on the dose-response curves, thus the smaller the concentration, the more active the molecules.

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Institutions

University of Milano–Bicocca

Categories

Pharmaceutics

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