Cited by 108Click Chemistry and ApplicationsAdvanced Proteomics Techniques and ApplicationsComputational Drug Discovery Methods

Activity-based protein profiling for mapping and pharmacologically interrogating proteome-wide ligandable hotspots

Open access
Roberts, Allison M, Ward, Carl C, Nomura, Daniel K·2017·Current Opinion in Biotechnology

Abstract

Despite the completion of human genome sequencing efforts nearly 15 years ago that brought with it the promise of genome-based discoveries that would cure human diseases, most protein targets that control human diseases have remained largely untranslated, in-part because they represent difficult protein targets to drug. In addition, many of these protein targets lack screening assays or accessible binding pockets, making the development of small-molecule modulators very challenging. Here, we discuss modern methods for activity-based protein profiling-based chemoproteomic strategies to map 'ligandable' hotspots in proteomes using activity and reactivity-based chemical probes to allow for pharmacological interrogation of these previously difficult targets. We will showcase several recent examples of how these technologies have been used to develop highly selective small-molecule inhibitors against disease-related protein targets.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.copbio.2016.08.003

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Chemoproteomic platforms enable rapid target identification and selectivity profiling of covalent ligands.

    “This ‘electrophile-first’ approach is partly facilitated by the development of chemoproteomic platforms that enable rapid target identification and selectivity profiling of covalent ligands14–18.”

    From Advances in covalent drug discovery (2022) · cites this paper as [15]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [6]Counihan JL Ford B Nomura DK Mapping proteome-wide interactions of reactive chemicals using chemoproteomic platforms Curr. Opin. Chem. Biol 2016 30 68 76 26647369 PMC4731263

Cited by

Sorted by citations

Authors
Roberts, A. M., Ward, C. C., & Nomura, D. K.
Affiliations
University of California, Berkeley (US)
Corresponding author
Nomura, Daniel K
Venue
Current Opinion in Biotechnology
Publisher
Elsevier BV
Published
2017-02
Volume
43
Pages
25-33
ISSN
0958-1669 (ISSN-L)
OpenAlex
W2508431262
Cited by
108
References
49
Citations by year
2026: 6 · 2025: 8 · 2024: 11 · 2023: 17 · 2022: 11 · 2021: 12 · 2020: 14 · 2019: 13 · 2018: 6 · 2017: 10
FWCI
0.46
Type
journal article
Language
en
Open access
Locations
  • Current Opinion in Biotechnology (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Institutes of Health (R01CA172667)
  • American Cancer Society (RSG14-242-01-TBE)
  • U.S. Department of Defense (CDMRP W81XWH-15-1-0050)
Topics
  • Physical Sciences › Chemistry › Organic Chemistry › Click Chemistry and Applications
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
activity-based protein profiling, chemoproteomics, small molecule inhibitors, drug target identification
MeSH terms
Animals, Humans, Proteins, Drug Design, Biomarkers, Proteome, Protein Array Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review