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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
23 Results for "
Prediction
" in MedChemExpress (MCE) Product Catalog:
Products (23)
23 Results for "Prediction" in MCE Product Catalog:
1
1 Cited Publications
Cat. No.: HY-W157689
CAS No.: 49619-58-1
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IDE-IN-2 (Compound 4) is an inhibitor for insulin-degrading enzyme. IDE-IN-2 is predicted to have CYP3A4, CYP2C19, hERG, NADP+, HIF1α and histidine kinase inhibitory activities, and has potential biological activity in anti-diabetic, anti-tumor, anti-bacterial aspects, according to the in silico prediction .
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Cat. No.: HY-N1464A
CAS No.: 25274-27-5
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PARP-1-IN-2 (compound 11g) is a potent PARP1 inhibitor, with an IC50 of 149 nM, and ADME prediction indicates it has high blood-brain barrier permeability. PARP1-IN-2 shows significantly potent anti-proliferative activity against Human lung adenocarcinoma epithelial cell line A549. PARP1-IN-2 can induce A549 cells apoptosis .
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Cat. No.: HY-173313
CAS No.: 3025114-13-7
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Ferroptosis-IN-19 (compound C18) is a strong cellular ferroptosis inhibitor with an IC50 value of 0.097 μM. Ferroptosis-IN-19 shows high metabolic stability and favorable BBB permeability prediction. Ferroptosis-IN-19 has in vivo neuroprotection against ischemic brain injury in mice .
Cat. No.: HY-117831
CAS No.: 19056-78-1
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NSC-79887 is a nucleoside hydrolase (NH) inhibitor with activity against Bacillus anthracis. NSC-79887 is considered a good candidate inhibitor of nucleoside hydrolases for biological testing and further development. The pharmacokinetic (ADMET) prediction of NSC-79887 showed that all physicochemical parameters were within the acceptable range for human use .
Cat. No.: HY-163380
CAS No.: 3038173-64-4
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CA/MAO-B-IN-1 (Compound 78) is a dual inhibitor for human brain carbonic anhydrases (CA) and Monoamine Oxidase-B (MAO-B), with IC50s of 8.8 and 7.0 nM, respectively. CA/MAO-B-IN-1 reveals a human oral absorption of 71.9% through in silico prediction .
Cat. No.: HY-163415
CAS No.: 906728-07-2
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MAO-IN-5 (Compound ZINC000016952895) is a monoamine oxidase (MAO) inhibitor. According to the prediction of Swiss ADME, MAO-IN-5 can inhibit the CYP enzyme family, has blood-brain barrier (BBB) permeability, and has a high gastrointestinal absorption rate. MAO-IN-5 can be used in the study of neurological diseases .
Cat. No.: HY-B1844
CAS No.: 70124-77-5
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Flucythrinate is a synthetic pyrethroid with endocrine suppressive properties. Flucythrinate showed good binding affinity to the vitamin D nuclear receptor (VDR) with a score of -11.0 kcal/mol. Flucythrinate has been proposed as a multi-target ligand that may interact with several proteins associated with breast cancer. The screening method for Flucythrinate showed good accuracy in binding site prediction and affinity estimation .
Cat. No.: HY-172678
CAS No.: 2064126-76-5
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PUC-10 is a 5-HT6 receptor antagonist with a Ki of 14.6 nM and an IC50 of 32 nM. In silico predictions suggest that PUC-10 is orally active and can cross the blood-brain barrier. PUC-10 can induce autophagy in SH-SY5Y cells by inhibiting the mTOR pathway. PUC-10 can be used in the research of neurological disorders .
Cat. No.: HY-146113
CAS No.: 2667681-85-6
IRAK4-IN-15 (compound 35) is a potent and selective IRAK4 inhibitor with an IC50 of 0.002 µM. IRAK4-IN-15 shows good human PK predictions with low intrinsic clearance. IRAK4-IN-15 shows great synergistic in vitro activity against MyD88/CD79 double mutant ABC-DLBCL in combination with Acalabrutinib. .
Cat. No.: HY-155416
CAS No.: 1101867-17-7
M56-S2 iodide is a SARS-CoV-2 M pro inhibitor (IC50=4.0 μM). M56-S2 iodide showed good oral bioavailability and low toxicity in ADMET prediction. M56-S2 iodide has good drug potential and can be used in antiviral (such as SARS-CoV-2) research .
Cat. No.: HY-175245
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hCA-IN-1 (Compound 5u) is an hCA inhibitor with Ki values of 159.2, 4.8, 15.5, and 2 nM against hCA I, hCA II, hCA IX, and hCA XII, respectively. hCA-IN-1 exhibits broad-spectrum anticancer activity against melanoma, breast, and colon cancer cells. ADME predictions indicate that hCA-IN-1 has good solubility and oral bioavailability. hCA-IN-1 can be used in tumor research .
Cat. No.: HY-124987
CAS No.: 2225834-49-9
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MRS4458 is a P2Y14 receptor antagonist with anti-inflammatory activity. MRS4458 mediates inflammatory activity by activating the motility of neutrophils. The design of MRS4458 is based on the interaction with the P2Y14 receptor and optimized by molecular dynamic simulation. MRS4458 performs well in terms of shape and complementarity with the receptor. The prediction that the 5-phenyl group of MRS4458 is substituted with thiophene is generally consistent with empirical results. The biological activity of MRS4458 was verified by fluorescence assay, showing its potent antagonistic effect .
Cat. No.: HY-162373
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α-Amylase/α-Glucosidase-IN-10 (compound 5d) is an α-amylase and α-glucosidase inhibitor (IC50: 30.39 μM and 65.1 μM) with potential diabetes inhibitory effects. α-Amylase/α-Glucosidase-IN-10 exhibits high gastrointestinal (GI) absorption in ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) prediction. While α-Amylase/α-Glucosidase-IN-10 acts as a substrate for P-gp and does not cross the blood-brain barrier (BBB), there may be a risk of central nervous system side effects .
Cat. No.: HY-163879
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hMAO-B-IN-9 (Compound 25c) is a non-competitive inhibitor for monoamine oxidase B (MAO-B) with an IC50 of 1.58 µM (hMAO-B). hMAO-B-IN-9 forms complex with iron ions as a chelator, and inhibits Erastin (HY-15763)-induced ferroptosis. hMAO-B-IN-9 exhibits antioxidant activity by downregulating the level of reactive oxygen species (ROS). hMAO-B-IN-9 improves cognitive function in mice, without significant toxicity (30 mg/kg). hMAO-B-IN-9 is blood-brain barrier permeable, according to the in silico prediction .
Cat. No.: HY-146579S
Cat. No.: HY-L922
25000 compounds
A diverse compound library with favorable ADMET properties (Absorption, Distribution, Metabolism, Excretion, and Toxicity) is crucial in drug discovery. Early evaluation of ADMET properties allows for the exclusion of molecules with unfavorable profiles at the initial stages, thereby reducing the risk of late-stage development failures, lowering R&D costs, and accelerating optimization of lead compounds. Based on predictions from ADMET-related AI algorithms, the compounds in this library are predicted to exhibit favorable oral bioavailability (F > 30%), reasonable plasma protein binding (PPB < 98%), minimized CYP3A4 inhibition potential (inhibition probability < 50%, CYP3A4 is the most critical drug-metabolizing enzyme in the cytochrome P450 family) , low toxicity profiles, with 140 potentially toxic substructures pre-identified and excluded via substructure searching to eliminate compounds containing hazardous fragments. The diversity library enables broad applicability in high-throughput screening (HTS) and high-content screening (HCS).
Cat. No.: HY-L923
9000 compounds
Ion channels are key proteins on the cell membrane that regulate the flow of ions across membranes. They participate in nearly all physiological processes, including nerve conduction, muscle contraction, heart rhythm, and pain perception. Abnormalities in their function can lead to various serious diseases such as arrhythmia, epilepsy, hypertension, neuropathic pain, and cancer. Therefore, ion channels are highly valuable drug targets—over 15% of approved drugs target ion channels currently, demonstrating their irreplaceable therapeutic value in cardiovascular, neurological, and analgesic fields.
MCE has collected a library of over 5,000 reported ion channel-related bioactive compounds targeting major sites such as Na+ channels, K+ channels, Ca2+ channels, GABA receptors, iGluRs, and others. Using AI models, these compounds are characterized through both 2D representations (molecular fingerprints, pharmacophores) and 3D representations (3D conformation) to screen for a collection of lead-like compounds highly similar to known active molecules. Additionally, an hERG channel prediction algorithm integrating XGB and ISE mapping strategy is employed to assess and exclude potential cardiotoxicity in the library.. This step significantly reduces safety risks in subsequent screenings, particularly for ion channel drug development related to cardiovascular systems (e.g., Nav1.5, Cav1.2), effectively minimizing failures due to hERG inhibition and serving as a valuable tool for ion channel drug 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
