ReviewCurrent medicinal chemistry2025
A Review on Branched-Chain Amino Acid Aminotransferase (BCAT) Inhibitors: Current Status, Challenges and Perspectives.
Review in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Obesity-derived metabolites modulate anti-tumor immunity in the tumor microenvironment: from mechanisms to clinical applications.BMC medicine · 2026Review
- The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026Review
- Branched-chain amino acid transaminases as promising targets in tumor therapy.Frontiers in cell and developmental biology · 2026Review
- BCAAs and related metabolic enzymes: partners in crime driving tumor development.Frontiers in cell and developmental biology · 2026Review
- Metabolic hallmarks of trastuzumab resistance.Expert opinion on therapeutic targets · 2025Review
- Design, Synthesis and Biological Activity Study of γ-Aminobutyric Acid (GABA) Derivatives Containing Bridged Bicyclic Skeletons as BCAT1 Inhibitors.Molecules (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Branched-chain amino acids (BCAAs) are essential amino acids for humans and play an indispensable role in many physiological and pathological processes. Branched-chain amino acid aminotransferase (BCAT) is a key enzyme that catalyzes the metabolism of BCAAs. BCAT is upregulated in many cancers and implicated in the development and progress of some other diseases, such as metabolic and neurological diseases; and therefore, targeting BCAT might be a potential therapeutic approach for these diseases. There are two isoforms of BCAT, i.e., cytoplasmic BCAT1 (or BCATc) and mitochondrial BCAT2 (or BCATm). The discovery of BCAT inhibitors was initiated by Warner-Lambert, a subsidiary of Pfizer, in 2000, followed by many other pharmaceutical companies, such as GlaxoSmithKline (GSK), Ergon, Icagen, Agios, and Bayer. Strategies of high-throughput screening (HTS), DNA-Encoded library technology (ELT), and fragment-based screening (FBS) have been employed for hit identification, followed by structural optimization. Despite low selectivity, both BCAT1 and BCAT2 selective inhibitors were individually developed, each with a few chemical structural classes. The most advanced BCAT1 inhibitor is BAY-069, discovered by Bayer, which has a potent enzymatic inhibitory activity against BCAT1 and a decent in vitro and in vivo pharmacokinetic profile but displayed weaker cellular inhibitory activity and almost no anti-proliferative activity. There are no BCAT inhibitors currently under investigation in clinical trials. Further studies are still needed to discover BCAT inhibitors with a more druggable profile for proof of concept. This review focuses on the latest progress of studies on the understanding of the physiology and pathology of BCAT and the discovery and development of BCAT inhibitors. The structure-activity relationship (SAR) and the druggability, and the challenges of BCAT inhibitors are discussed, with the aim of inspiring the discovery and development of BCAT inhibitors in the future.
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Identifiers
39791161What OpenQuestion 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 OpenQuestion graph.