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Targeted therapy! The Capetin Prize winning "Click Chemistry" can be used like this!Targeted therapy! The Nobel Prize winning "Click Chemistry" can be used like this!2025-02-06
10 Results for "
Bioactivity precursor
" in MedChemExpress (MCE) Product Catalog:
Products (10)
10 Results for "Bioactivity precursor" in MCE Product Catalog:
1
1 Cited Publications
Cat. No.: HY-W010712
CAS No.: 109425-51-6
Target:
Research Areas:
Cat. No.: HY-W054292
CAS No.: 1025796-31-9
Synonyms: (OtBu)KuE(OtBu)2
Category:
Human Gut Microbiota Metabolites Microorganisms Ketones, Aldehydes, Acids Endogenous metabolite Saccharides Monosaccharides
Target:
NH2-UAMC1110 TFA is an aminobutoxy derivative of the fibroblast activation protein (FAP) inhibitor UAMC1110 (HY-100684), and is a precursor compound for the synthesis of FAP inhibitor probes, not directly used in bioactivity experiments. For example, NH2-UAMC1110 TFA is involved in the synthesis of the radiotracer FAPI-QS, which exhibits high tumor selectivity and high dose effect, and has been used in tumor diagnosis. NH2-UAMC1110 TFA structurally incorporates an active amino group, allowing it to form covalent bonds with various molecules (such as DOTA, DATA5m, radionuclide chelators, etc.) to synthesize molecular imaging probes or targeted compounds with the ability to target FAP. NH2-UAMC1110 TFA specifically binds to the FAP active site, inhibiting its proline-selective serine protease activity (including dipeptidyl peptidase and endopeptidase activity), blocking FAP-mediated tissue remodeling-related processes. Its key activity is high targeting and high affinity, and its core function is to act as a targeting module coupled with bifunctional chelators (such as DOTA, DATA5m). NH2-UAMC1110 TFA can be applied to diagnostic imaging studies of tumors expressing FAP (such as colorectal cancer, pancreatic cancer, etc.), and also provides molecular tools for targeted research of FAP-related diseases with high FAP expression, such as fibrosis and arthritis .
Cat. No.: HY-153552
CAS No.: 2758337-19-6
NH2-UAMC1110 is an aminobutoxy derivative of the fibroblast activation protein (FAP) inhibitor UAMC1110 (HY-100684), and is a precursor compound for the synthesis of FAP inhibitor probes, not directly used in bioactivity experiments. For example, NH2-UAMC1110 is involved in the synthesis of the radiotracer FAPI-QS, which exhibits high tumor selectivity and high dose-response, and has been used for tumor diagnosis. NH2-UAMC1110 introduces an active amino group into its structure, enabling it to form covalent bonds with various molecules (such as DOTA, DATA5m, radionuclide chelators, etc.), thereby synthesizing molecular imaging probes or targeted compounds with the ability to target FAP. NH2-UAMC1110 specifically binds to the FAP active site, inhibiting its proline-selective serine protease activity (including dipeptidyl peptidase and endopeptidase activity), blocking FAP-mediated tissue remodeling processes. Its key activity is high targeting and high affinity, and its core function is to be coupled with bifunctional chelators (such as DOTA, DATA5m) as a targeting module. NH2-UAMC1110 can be applied to diagnostic imaging studies of tumors expressing FAP (such as colorectal cancer, pancreatic cancer, etc.), and also provides molecular tools for targeted research of FAP-related diseases with high FAP expression, such as fibrosis and arthritis .
Cat. No.: HY-W009544
CAS No.: 1961-72-4
Synonyms: 3-Hydroxymyristic acid
Cat. No.: HY-P10613
CAS No.: 148914-08-3
Target:
Research Areas:
Cat. No.: HY-128748R
CAS No.: 56-82-6
Cat. No.: HY-L932V0
2,000,000 compounds
Macrocyclic compounds (≥12-atom cyclic small molecules/peptides) have unique physicochemical properties. They form preorganized conformations with high binding affinity/selectivity, target traditional small-molecule-inaccessible proteins, and bridge small-molecule drugs and biological agents. As key protein phosphorylation enzymes, kinases are linked to tumors, COPD, etc., and are critical therapeutic targets. Traditional small-molecule kinase inhibitors lack selectivity, causing off-target toxicity, low bioavailability, and acquired resistance. Macrocycles’ semi-rigid structure restricts conformations, boosts binding selectivity, optimizes pharmacokinetics, and makes macrocyclization a core kinase inhibitor optimization strategy.
Thousands of bioactive macrocycles were curated from ChEMBL. Via Transformer, macrocyclization was converted into a chemical language translation task, enabling end-to-end macrocycle generation from linear precursors with simplified inputs. Macformer achieves efficient, automated linear molecule macrocyclization via deep learning; generated macrocycles have diversity, novelty, biocompatibility, and cover broader chemical space.
MCE collected thousands of marketed/clinical kinase inhibitors, using their fragments for macrocyclization to generate derivatives. After evaluating synthetic accessibility and physicochemical properties, a million-scale virtual macrocyclic library was built for kinase-related virtual and AI-driven screening.
Cat. No.: HY-L932V
2,000,000 compounds
Macrocyclic compounds (≥12-atom cyclic small molecules/peptides) have unique physicochemical properties. They form preorganized conformations with high binding affinity/selectivity, target traditional small-molecule-inaccessible proteins, and bridge small-molecule drugs and biological agents. As key protein phosphorylation enzymes, kinases are linked to tumors, COPD, etc., and are critical therapeutic targets. Traditional small-molecule kinase inhibitors lack selectivity, causing off-target toxicity, low bioavailability, and acquired resistance. Macrocycles’ semi-rigid structure restricts conformations, boosts binding selectivity, optimizes pharmacokinetics, and makes macrocyclization a core kinase inhibitor optimization strategy.
Thousands of bioactive macrocycles were curated from ChEMBL. Via Transformer, macrocyclization was converted into a chemical language translation task, enabling end-to-end macrocycle generation from linear precursors with simplified inputs. Macformer achieves efficient, automated linear molecule macrocyclization via deep learning; generated macrocycles have diversity, novelty, biocompatibility, and cover broader chemical space.
MCE collected thousands of marketed/clinical kinase inhibitors, using their fragments for macrocyclization to generate derivatives. After evaluating synthetic accessibility and physicochemical properties, a million-scale virtual macrocyclic library was built for kinase-related virtual and AI-driven screening.
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Protocols
Targeted therapy! The Capetin Prize winning "Click Chemistry" can be used like this!Targeted therapy! The Nobel Prize winning "Click Chemistry" can be used like this!A suitable model is crucial in drug screening experiments. Organs can mimic the three-dimensional functional structure of internal organs, have similar spatial organization to corresponding organs, maintain some key characteristics, and reproduce some physiological functions. They are widely used for modeling and personalized drug screening physiological functions.2025-02-06
