Evidence map›Paper›PMID 41623523›Full record

ReviewRSC chemical biology2026

Protein structural dynamics in covalent drug design: insights from irreversible and reversible covalent inhibitors.

Ruchira Basu, Steven Fletcher

Abstract readReview
In one paragraph

Review in RSC chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. RSC chemical biology · 2026
    Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ruchira BasuDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy 20 N. Pine St. Baltimore MD 21201 USA steven.fletcher@rx.umaryland.edu.
Steven FletcherDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy 20 N. Pine St. Baltimore MD 21201 USA steven.fletcher@rx.umaryland.edu.ORCID https://orcid.org/0000-0002-4429-8334

Funding

Graduate Training at The Chemistry Biology InterfaceT32GM158458 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI Steven Fletcher, Aaron T Smith · 2025 to 2026
$564k
NIGMS NIH HHS T32 GM158458
6 · The paper itself

Abstract

Proteins form complex networks critical to various biological processes; many become involved in disease-related pathologies - only a subset of these proteins are considered to be druggable by conventional, non-covalent small-molecule therapeutics. Covalent drugs, which encompass irreversible inhibitors and reversible covalent inhibitors, are small-molecule modalities that chemically conjugate with their therapeutic targets and have emerged as a strategy to more effectively target these proteins, with structure-based approaches guiding their design, and achieving an improved therapeutic effect, predominantly through sustained inhibitions. In this review, we focus on the impact of covalent bond formation on protein structural dynamics, such as the generation/trapping of cryptic pockets, and how these phenomena may be leveraged in orthosteric and allosteric drug design. Further, while irrreversible inhibitors result in longer residence times with permanent changes of target proteins that will require protein re-synthesis, reversible covalent inhibitors enjoy the benefit of samplng different adducts, wherein one particular conjugate may be favoured through stabilizing structural reogranizations; this may prove significant when a protein presents multiple nucleophilic residues, and selectivity is a concern. Herein, we explore selected case studies that examine the mechanistic consequences of protein-drug conjugations, recommending a more dynamic structural perspective in rational drug development.

Identifiers

PMID41623523
PMCPMC12856573

What OpenQuestion holds

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Registered trials

None linked

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.