SP3‐FAIMS Chemoproteomics for High‐Coverage Profiling of the Human Cysteinome** DOI
Tianyang Yan, Heta S. Desai, Lisa M. Boatner

et al.

ChemBioChem, Journal Year: 2021, Volume and Issue: 22(10), P. 1841 - 1851

Published: Jan. 15, 2021

Chemoproteomics has enabled the rapid and proteome-wide discovery of functional, redox-sensitive, ligandable cysteine residues. Despite widespread adoption considerable advances in both sample-preparation workflows MS instrumentation, chemoproteomics experiments still typically only identify a small fraction all cysteines encoded by human genome. Here, we develop an optimized workflow that combines enhanced peptide labeling with single-pot, solid-phase-enhanced (SP3) to improve recovery biotinylated peptides, even from sample sizes. By combining this improved on-line high-field asymmetric waveform ion mobility spectrometry (FAIMS) separation labeled achieve unprecedented coverage >14000 unique single-shot 70 min experiment. Showcasing wide utility SP3-FAIMS chemoproteomic method, find it is also compatible competitive small-molecule screening isotopic tandem orthogonal proteolysis-activity-based protein profiling (isoTOP-ABPP). In aggregate, our analysis 18 samples seven cell lines identified 34225 using ∼28 h instrument time. The comprehensive spectral library provided method will provide technical foundation for future studies aimed at deciphering functions druggability cysteineome.

Language: Английский

Computational approaches streamlining drug discovery DOI Creative Commons
Anastasiia Sadybekov, Vsevolod Katritch

Nature, Journal Year: 2023, Volume and Issue: 616(7958), P. 673 - 685

Published: April 26, 2023

Computer-aided drug discovery has been around for decades, although the past few years have seen a tectonic shift towards embracing computational technologies in both academia and pharma. This is largely defined by flood of data on ligand properties binding to therapeutic targets their 3D structures, abundant computing capacities advent on-demand virtual libraries drug-like small molecules billions. Taking full advantage these resources requires fast methods effective screening. includes structure-based screening gigascale chemical spaces, further facilitated iterative approaches. Highly synergistic are developments deep learning predictions target activities lieu receptor structure. Here we review recent advances technologies, potential reshaping whole process development, as well challenges they encounter. We also discuss how rapid identification highly diverse, potent, target-selective ligands protein can democratize process, presenting new opportunities cost-effective development safer more small-molecule treatments. Recent approaches application streamlining discussed.

Language: Английский

Citations

592

Advances in covalent drug discovery DOI Open Access
Lydia Boike, Nathaniel J. Henning, Daniel K. Nomura

et al.

Nature Reviews Drug Discovery, Journal Year: 2022, Volume and Issue: 21(12), P. 881 - 898

Published: Aug. 25, 2022

Language: Английский

Citations

485

The emerging role of mass spectrometry-based proteomics in drug discovery DOI
Felix Meissner, Jennifer Geddes‐McAlister, Matthias Mann

et al.

Nature Reviews Drug Discovery, Journal Year: 2022, Volume and Issue: 21(9), P. 637 - 654

Published: March 29, 2022

Language: Английский

Citations

234

Itaconate and itaconate derivatives target JAK1 to suppress alternative activation of macrophages DOI Creative Commons
Marah C. Runtsch, Stefano Angiari, Alexander Hooftman

et al.

Cell Metabolism, Journal Year: 2022, Volume and Issue: 34(3), P. 487 - 501.e8

Published: March 1, 2022

Language: Английский

Citations

203

Reuterin in the healthy gut microbiome suppresses colorectal cancer growth through altering redox balance DOI Creative Commons
Hannah N. Bell, Ryan Rebernick, Joshua Goyert

et al.

Cancer Cell, Journal Year: 2021, Volume and Issue: 40(2), P. 185 - 200.e6

Published: Dec. 23, 2021

Language: Английский

Citations

193

Reimagining Druggability Using Chemoproteomic Platforms DOI
Jessica N. Spradlin, Erika Zhang, Daniel K. Nomura

et al.

Accounts of Chemical Research, Journal Year: 2021, Volume and Issue: 54(7), P. 1801 - 1813

Published: March 18, 2021

ConspectusOne of the biggest bottlenecks in modern drug discovery efforts is tackling undruggable proteome. Currently, over 85% proteome still considered because most proteins lack well-defined binding pockets that can be functionally targeted with small molecules. Tackling necessitates innovative approaches for ligand against as well development new therapeutic modalities to manipulate interest. Chemoproteomic platforms, particular activity-based protein profiling (ABPP), have arisen tackle by using reactivity-based chemical probes and advanced quantitative mass spectrometry-based proteomic enable "ligandable hotspots" or proteome-wide sites small-molecule ligands. These subsequently pharmacologically covalent ligands rapidly discover functional nonfunctional binders also revealed unique insights into ligandability such allosteric intrinsically disordered regions selectively biological modulation benefit. platforms expanded scope emerging degradation proteolysis-targeting chimeras (PROTACs) through several E3 ligase recruiters. Looking future, chemoproteomic will unquestionably a major impact further expansion existing toward mapping, high-value targets, molecular glue scaffolds function, perhaps excitingly next-generation induced-proximity-based go beyond degradation. Exciting days lie ahead this field biology becomes an increasingly driver discovery, are sure mainstay developing therapeutics.

Language: Английский

Citations

130

An Introduction to Mass Spectrometry-Based Proteomics DOI Open Access
Steven R. Shuken

Journal of Proteome Research, Journal Year: 2023, Volume and Issue: 22(7), P. 2151 - 2171

Published: June 1, 2023

Mass spectrometry is unmatched in its versatility for studying practically any aspect of the proteome. Because foundations mass spectrometry-based proteomics are complex and span multiple scientific fields, can be perceived as having a high barrier to entry. This tutorial intended an accessible illustrated guide technical details relatively simple quantitative proteomic experiment. An attempt made explain relevant concepts those with limited knowledge basic understanding proteins. experimental overview provided, from beginning sample preparation analysis protein group quantities, explanations how data acquired, processed, analyzed. A selection advanced topics briefly surveyed works further reading cited. To conclude, brief discussion future given, considering next-generation sequencing technologies that may complement create fruitful proteomics.

Language: Английский

Citations

125

Systematic identification of anticancer drug targets reveals a nucleus-to-mitochondria ROS-sensing pathway DOI Creative Commons
Junbing Zhang,

Claire Simpson,

Jacqueline Berner

et al.

Cell, Journal Year: 2023, Volume and Issue: 186(11), P. 2361 - 2379.e25

Published: May 1, 2023

Language: Английский

Citations

98

Discovery, Preclinical Characterization, and Early Clinical Activity of JDQ443, a Structurally Novel, Potent, and Selective Covalent Oral Inhibitor of KRASG12C DOI Creative Commons
Andreas Weiss, Edwige Lorthiois,

Louise Barys

et al.

Cancer Discovery, Journal Year: 2022, Volume and Issue: 12(6), P. 1500 - 1517

Published: April 4, 2022

Covalent inhibitors of KRASG12C have shown antitumor activity against advanced/metastatic KRASG12C-mutated cancers, though resistance emerges and additional strategies are needed to improve outcomes. JDQ443 is a structurally unique covalent inhibitor GDP-bound that forms novel interactions with the switch II pocket. potently inhibits KRASG12C-driven cellular signaling demonstrates selective antiproliferative in cell lines, including those G12C/H95 double mutations. In vivo, induces AUC exposure-driven efficacy cell-derived (CDX) patient-derived (PDX) tumor xenografts. PDX models, single-agent enhanced by combination SHP2, MEK, or CDK4/6. Notably, benefit plus SHP2 TNO155 maintained at reduced doses either agent CDX consistent mechanistic synergy. clinical development as monotherapy TNO155, both showing patients tumors. binding mode potent lines vivo models. preclinical models malignancies, shows TNO155. This article highlighted Issue feature, p. 1397.

Language: Английский

Citations

95

A proteome-wide atlas of drug mechanism of action DOI

Dylan C. Mitchell,

Miljan Kuljanin, Jiaming Li

et al.

Nature Biotechnology, Journal Year: 2023, Volume and Issue: 41(6), P. 845 - 857

Published: Jan. 2, 2023

Language: Английский

Citations

89