Evidence map›Paper›PMID 40654683›Full record

ArticlebioRxiv : the preprint server for biology2025

DIRseq: a method for predicting drug-interacting residues of intrinsically disordered proteins from sequences.

Matthew MacAinsh, Sanbo Qin, Huan-Xiang Zhou

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Matthew MacAinshDepartment of Chemistry, University of Illinois Chicago, Chicago, IL 60607, USA.
Sanbo QinDepartment of Chemistry, University of Illinois Chicago, Chicago, IL 60607, USA.
Huan-Xiang ZhouDepartment of Chemistry, University of Illinois Chicago, Chicago, IL 60607, USA.ORCID 0000-0001-9020-0302

Funding

Quantitative, Mechanistic Studies of Biomolecular RecognitionR35GM118091 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Huan-Xiang Zhou · 2016 to 2026
$6.5M
NIGMS NIH HHS R35 GM118091
6 · The paper itself

Abstract

Intrinsically disordered proteins (IDPs) are now well-recognized as drug targets. Identifying drug-interacting residues is valuable for both optimizing compounds and elucidating the mechanism of action. Currently, NMR chemical shift perturbation and all-atom molecular dynamics (MD) simulations are the primary tools for this purpose. Here we present DIRseq, a fast method for predicting drug-interacting residues from the amino-acid sequence. All residues contribute to the propensity of a particular residue to be drug-interacting; the contributing factor of each residue has an amplitude that is determined by its amino-acid type and attenuates with increasing sequence distance from the particular residue. DIRseq predictions match well with drug-interacting residues identified by NMR chemical shift perturbation and other methods, including residues L

Identifiers

PMID40654683
PMCPMC12248004

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.