ReviewDrug discovery today2024
Which cryptic sites are feasible drug targets?
Review in Drug discovery today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- The Allosteric Revolution: From Static Structures to Conformational Ensembles and Next-Generation Therapeutics.Journal of molecular biology · 2026Review
- Drug Discovery of Allosteric Molecular Glue Degraders (aMGDs): Expanding the Landscape of Targeted Protein Degradation.Journal of medicinal chemistry · 2026Article
- The influence of ligands on AlphaFold3 prediction of cryptic pockets.Communications biology · 2026Article
- Cryptic pockets in proteins: Harnessing conformational dynamics for rational drug design.Acta pharmaceutica Sinica. B · 2026Article
- ERK autoinhibition mechanism informs a drug combination strategy.Protein science : a publication of the Protein Society · 2026Article
- CryptoBank: A resource for the identification and prediction of cryptic sites in proteins.Science advances · 2026Article
- Leveraging conformational ensembles in allosteric drug discovery.Trends in pharmacological sciences · 2026Review
- Allosteric drugs in biomolecular condensates: ways forward.Drug discovery today · 2026Review
- Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Decrypting cryptic pockets with physics-based simulations and artificial intelligence.Current opinion in structural biology · 2026Review
- Allostery in Disease: Anticancer Drugs, Pockets, and the Tumor Heterogeneity Challenge.Journal of molecular biology · 2025Review
- Recent computational advances in the identification of cryptic binding sites for drug discovery.Bioinformatics advances · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Cryptic sites can expand the space of druggable proteins, but the potential usefulness of such sites needs to be investigated before any major effort. Given that the binding pockets are not formed, the druggability of such sites is not well understood. The analysis of proteins and their ligands shows that cryptic sites that are formed primarily by the motion of side chains moving out of the pocket to enable ligand binding generally do not bind drug-sized molecules with sufficient potency. By contrast, sites that are formed by loop or hinge motion are potentially valuable drug targets. Arguments are provided to explain the underlying causes in terms of classical enzyme inhibition theory and the kinetics of side chain motion and ligand binding.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.