Evidence mapPaperPMID 40404146Full record

ReviewChemical reviews2025

Advancing Covalent Ligand and Drug Discovery beyond Cysteine.

Gibae Kim, R Justin Grams, Ku-Lung Hsu

Abstract readReview
In one paragraph

Review in Chemical reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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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

3 authors.

Gibae KimDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0002-9930-712X
R Justin GramsDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.
Ku-Lung HsuDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0001-5620-3972

Funding

Defining and targeting substrate specificity of protein tyrosine phosphatasesR01GM144472 · NIGMS · UNIVERSITY OF VIRGINIA · 2022 to 2025
$1.2M
Chemical proteomic investigation of lipid kinase specificity and druggabilityR01AI169412 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · 2024 to 2025
$735k
Endocannabinoid Biosynthesis in Inflammation and PainR01DA043571 · UNIVERSITY OF TEXAS AT AUSTIN · 2025 to 2025
$502k
NIAID NIH HHS R01 AI169412NIDA NIH HHS R01 DA043571NIGMS NIH HHS R01 GM144472
6 · The paper itself

Abstract

Targeting intractable proteins remains a key challenge in drug discovery, as these proteins often lack well-defined binding pockets or possess shallow surfaces not readily addressed by traditional drug design. Covalent chemistry has emerged as a powerful solution for accessing protein sites in difficult to ligand regions. By leveraging activity-based protein profiling (ABPP) and LC-MS/MS technologies, academic groups and industry have identified cysteine-reactive ligands that enable selective targeting of challenging protein sites to modulate previously inaccessible biological pathways. Cysteines within a protein are rare, however, and developing covalent ligands that target additional residues hold great promise for further expanding the ligandable proteome. This review highlights recent advancements in targeting amino acids beyond cysteine binding with an emphasis on tyrosine- and lysine-directed covalent ligands and their applications in chemical biology and therapeutic development. We outline the process of developing covalent ligands using chemical proteomic methodology, highlighting recent successful examples and discuss considerations for future expansion to additional amino acid sites on proteins.

Indexed as

CysteineDrug DiscoveryProteinsHumansLigandsProteomicsCysteineLigandsProteins

Identifiers

PMID40404146
PMCPMC12291208

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.