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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
205 Results for "OPTimization" in MCE Product Catalog:
The MCE 1K Drug Fragment Library consists of 1,394 drug fragments. These drug fragments are derived from 2,946 FDA-approved drug molecules, and fragments from one drug can appear in other drugs, so these fragments are somewhat correlated with good PK/PD properties. Fragment-based screening can reserve enough chemical space for subsequent structural optimization. This compound library is an essential tool for drug screening based on FBDD (Fragment-Based Drug Discovery).
MCE OptiLNP Antibody-ctLNP pDNA Transfection Reagent (Jurkat Cells) utilizes antibody-conjugated cell-targeted lipid nanoparticle (Cell-targeted Lipid Nanoparticle, ctLNP) technology and is specifically optimized for human primary T cells. It enables efficient and targeted RNA delivery, improving transfection efficiency in difficult-to-transfect primary T cells. The kit is ideally suited for applications including CAR-T and TCR-T cell engineering, cancer immunology research, immune cell engineering, and in vitro T cell functional studies.
MCE Serum/Plasma Exosome Isolation and Purification Kit (Magnetic Beads) utilizes a magnetic bead-based method for the isolation and purification of exosomes. The underlying principle is based on the charge-dependent interaction between exosomes and functional polymers on the surface of the magnetic beads under an optimized buffer system, enabling selective adsorption of exosomes. Subsequent adjustment of the ionic strength and pH of the buffer promotes the gentle dissociation of exosomes from the magnetic beads, thereby enabling efficient exosome isolation and purification while maintaining high vesicle integrity and low impurity carryover.
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