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Proteome-wide structure-based accessibility analysis of ligandable and detectable cysteines in chemoproteomic datasets

<p>Covalent drug discovery, in particular targeting reactive cysteines, has undergone a resurgence over the past two decades, demonstrated by recent clinical successes of covalent inhibitors for high-priority cancer targets. Reactive cysteine profiling, first pioneered by the Cravatt lab, has emerged in parallel as a powerful approach for proteome-wide on- and off-target profiling. Thus far however, structural analysis of liganded cysteines has been restricted to experimentally determined protein structures. We combined AlphaFold-predicted amino acid side chain accessibilities for &gt;95% of the human proteome with a meta-analysis of thirteen public cysteine profiling datasets, totalling 40,070 unique cysteine residues, revealing accessibility biases in sampled cysteines primarily dictated by warhead chemistry. Analysis of &gt;3.5 million cysteine-fragment interactions further suggests that exposed cysteine residues are preferentially targeted by elaborated fragments and drug-like compounds. We finally propose a framework for benchmarking coverage of ligandable cysteines in future cysteine profiling approaches, considering both selectivity for high-priority residues and quantitative depth. All analysis and produced resources (freely available at&nbsp;<a href="http://www.github.com/TateLab">www.github.com/TateLab</a>) are readily extendable to reactive amino acids beyond cysteine, and related questions in chemical biology.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
8

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