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Barabasi-Lab/AI-Bind: Improving the generalizability of protein-ligand binding predictions with AI-Bind

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Mar 2023Publisher:Zenodo
Authors: Ayan Chatterjee; Robin Walters;
Code repository: https://github.com/Barabasi-Lab/AI-Bind/tree/v1.1

doi: 10.5281/zenodo.7563565 , 10.5281/zenodo.7730755

Barabasi-Lab/AI-Bind: Improving the generalizability of protein-ligand binding predictions with AI-Bind

Abstract

Release for publication in Nature Communications. This release updates https://github.com/Barabasi-Lab/AI-Bind/Emergence-of-shortcuts/ from v1.0 release, adding in code for the 3 scenarios of the toy model described in the Supplementary Information of the paper.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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