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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
571 Results for "low selectivity" in MCE Product Catalog:
Orthosteric sites are highly conserved, leading to poor subtype selectivity, off-target toxicity and drug resistance in traditional drugs. By contrast, allosteric sites show low conservation, high hydrophobicity, weak polarity, confined geometry and dynamic cryptic properties, granting modulators high selectivity, functional tunability and safety. Thus, allosteric therapy has become a major focus in drug discovery.
MCE curated nearly 1,000 clinical-stage allosteric modulators, analyzed PDB complex structures to identify key pharmacophores and privileged scaffolds, then designed and filtered compounds using rational “scaffold derivation + physicochemical screening” with strict property criteria. The resulting compounds show high rigidity and shape complementarity to shallow, dynamic, hydrophobic allosteric pockets.
This library comprises 4,315 diverse, lead-like compounds ideal for allosteric drug discovery and target screening, covering kinases, GPCRs and more. All are analogs of clinical-stage molecules with similarity > 0.6, combining high druggability and allosteric binding potential to support efficient early-stage R&D.
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.
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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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
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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