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macrocyclic peptide libraries

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By Targets:	Drug Intermediate (1) SARS-CoV (1)
By Research Areas:	Infection (1)

Inhibitors & Agonists

Screening Libraries

Targets Recommended: RXFP Receptor Formyl Peptide Receptor (FPR) Peptide-Drug Conjugates (PDCs) Natriuretic Peptide Receptor (NPR) Connective Peptide CGRP Receptor Amyloid-β

Cat. No.	Product Name	Target	Research Areas	Chemical Structure

HY-W004812

BOC-(1R,3S)-3-aminocyclopentane carboxylic acid (1S,3S)-3-[(tert-Butoxycarbonyl)amino]cyclopentanecarboxylic acid	Drug Intermediate SARS-CoV	Infection
BOC-(1R,3S)-3-aminocyclopentane carboxylic acid ((1S,3S)-3-[(tert-Butoxycarbonyl)amino]cyclopentanecarboxylic acid) is a conformationally constrained peptide building block and a key component of SARS-CoV-2 main protease (Mpro) inhibitors. When incorporated into macrocyclic peptides, BOC-(1R,3S)-3-aminocyclopentane carboxylic acid not only helps generate high-affinity Mpro inhibitors by preorganizing the secondary structure of peptides, but also exerts sequence-dependent functional inhibition on the hydrolytic activity of Mpro. BOC-(1R,3S)-3-aminocyclopentane carboxylic is widely used in COVID-19-related research .

Cat. No.	Product Name

HY-L932V0

Kinase Macrocyclic Compound Virtual Library	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.

Kinase Macrocyclic Compound Virtual Library

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.

HY-L932V

Kinase Macrocyclic Compound Virtual Library	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.

Kinase Macrocyclic Compound Virtual Library

2,000,000 compounds

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BODIPY 493/503 purchased from MedChemExpress. Usage Cited in: Nat Commun. 2025 Feb 1;16(1):1241. [Abstract]

MedchemExpress Validation 01

Western blot analysis of extracts from THP-1(lane 2(20μg), Jurkat (lane 3(20μg) and NIH3T3(lane 4(20μg) using FOXO1A (HY-P80132) Rabbit mAb. Proteins were transferred to a PVDF membrane and blocked with 5% non-fat milk in TBST for 2 hour at room temperature. The primary antibody (1/1000) and Loading control antibody (Beta Actin, HY-P80438, 1/10000) was used in 5% non-fat milk in TBST at 4°C overnight. Goat Anti-Mouse/Rabbit IgG-HRP Secondary Antibody (1/10000) was used for 1 hour at room temperature. Western blot analysis of extracts from THP-1(lane 2(20μg), Jurkat (lane 3(20μg) and NIH3T3(lane 4(20μg) using FOXO1A (HY-P80132) Rabbit mAb. Proteins were transferred to a PVDF membrane and blocked with 5% non-fat milk in TBST for 2 hour at room temperature. The primary antibody (1/1000) and Loading control antibody (Beta Actin, HY-P80438, 1/10000) was used in 5% non-fat milk in TBST at 4°C overnight. Goat Anti-Mouse/Rabbit IgG-HRP Secondary Antibody (1/10000) was used for 1 hour at room temperature. Western blot analysis of extracts from THP-1(lane 2(20μg), Jurkat (lane 3(20μg) and NIH3T3(lane 4(20μg) using FOXO1A (HY-P80132) Rabbit mAb. Proteins were transferred to a PVDF membrane and blocked with 5% non-fat milk in TBST for 2 hour at room temperature. The primary antibody (1/1000) and Loading control antibody (Beta Actin, HY-P80438, 1/10000) was used in 5% non-fat milk in TBST at 4°C overnight. Goat Anti-Mouse/Rabbit IgG-HRP Secondary Antibody (1/10000) was used for 1 hour at room temperature.

BODIPY 493/503 purchased from MedChemExpress. Usage Cited in: Nat Commun. 2025 Feb 1;16(1):1241. [Abstract]

MedchemExpress Validation 01

MedchemExpress Validation 03

Western blot analysis of extracts from THP-1(lane 2(20μg), Jurkat (lane 3(20μg) and NIH3T3(lane 4(20μg) using FOXO1A (HY-P80132) Rabbit mAb. Proteins were transferred

MedchemExpress Validation 04

MedchemExpress Validation

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