9 Results for "

Macrocyclic kinase

" in MedChemExpress (MCE) Product Catalog:
Products (9)

9 Results for "Macrocyclic kinase" in MCE Product Catalog:

Cat. No.: HY-19628
CAS No.: 1638644-62-8
Research Areas:  

Inflammation/Immunology

OD36 is a RIPK2 inhibitor with an IC50 of 5.3 nM. OD36 is a macrocyclic inhibitor with potent binding to the ALK2 kinase ATP pocket. OD36 shows ALK2-directed activity with KDs of 37 nM .
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Cat. No.: HY-19628A
CAS No.: 2387510-88-3
Research Areas:  

Inflammation/Immunology

OD36hydrochloride is a RIPK2 inhibitor with an IC50 of 5.3 nM. OD36 hydrochloride is a macrocyclic inhibitor with potent binding to the ALK2 kinase ATP pocket. OD36 hydrochloride shows ALK2-directed activity with KDs of 37 nM .
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Cat. No.: HY-144614
CAS No.: 3034312-17-6
Target:  

DYRK Apoptosis

Research Areas:  

Neurological Disease Cancer

JH-XVII-10 is a potent, selective and orally active DYRK1A and DYRK1B inhibitor with IC50s of 3 nM and 5 nM for DYRK1A and DYRK1B, respectively. JH-XVII-10 shows antitumor efficacy in neck squamous cell carcinoma (HNSCC) cell lines .
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Cat. No.: HY-161571
CAS No.: 3032733-17-5
Target:  

LRRK2

Research Areas:  

Neurological Disease

LRRK2-IN-13 (Compound 13) is an inhibitor of LRRK2 (IC50=0.57 nM). LRRK2-IN-13 has brain penetrating properties .
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Cat. No.: HY-151382
CAS No.: 2969205-85-2
Target:  

Casein Kinase

Research Areas:  

Cancer

CK2-IN-3 is a selective and potent CK2 inhibitor (Kd: 12 nM), with IC50 values of 1.51 μM (CK2α) and 7.64 μM (CK2α’). CK2-IN-3 can be used in the research of cancers .
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Cat. No.: HY-108602
CAS No.: 143370-84-7
Target:  

PKC

Research Areas:  

Cancer

Bryostatin 3, a macrocyclic lactone, is a protein kinase C activator, with a Ki of 2.75 nM. Bryostatin 3 can block 12-O-tetradecanoylphorbol-13-acetate (TPA) inhibition of cell proliferation, yet did not block TPA-enhanced cell-substratum adhesion .
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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.

Cat. No.: HY-178974
Target:  

Ser/Thr Kinase

Research Areas:  

Cancer

SLK/STK10-IN-2 (Compound 23) is a highly selective STK10 inhibitor, with a Kd of 365 nM and an IC50 of 0.85 μM. SLK/STK10-IN-2 exhibits EC50 of 0.89 μM in NanoBRET cell experiments. SLK/STK10-IN-2 shows no significant binding to SLK, STK3/4. SLK/STK10-IN-2 can be used to study STK10-related diseases (such as abnormal lymphocyte migration) .
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