Generative Lead Optimization

Binding Affinity Prediction

Comprehensive Property Prediction

Technology Platforms



KINET is LexBio's AI-driven intelligent computing platform which integrates the state-of-the-art machine learning solutions, the high-end computing environment, and the user-friendly API to provide a digital laboratory for one-stop experimentation of predictive modeling, virtual screening and molecular generation.

Ultra-large Library for Hit Finding

3D Molecular Generation

Structural Filter

LexMolDB

LexBAP

LexMolProp

LexGen3D

LexFilter

LexOPT

Selected Publications

Discovery of novel, potent USP7 inhibitors.

Cancer Res.

Lead compounds for the development of SARS-CoV-2 3CL protease inhibitors.

Nature Comm.

Target the more druggable protein states in PPI.

J. Chem. Inf. Model.

Scaffold mining of kinase hinge binders in crystal structure database. J. Comput. Aided

Mol. Des.

Discovery of sEH inhibitors by library design and structure-based virtual screening.

J. Med. Chem.

Invited Presentations

Dr. Li Xing was invited as a special guest to host the early R&D forum and present a keynote speech on the topic of " Applications of AI Accelerated Antibody Discovery" in the 2024 BIO CHINA Congress.
2024-03-20
2024 ESMO TAT Congress was held in Paris, France, on Feb 26-28, 2024. Dr. Li Xing was invited to present "HIGHLY POTENT AND SELECTIVE RET INHIBITORS THAT OVERCOME ADAPTIVE DRUG RESISTANCE".
2024-03-11
SAPA-China 2023 Annual Conference and 30th Anniversary Celebration .Dr. Li Xing was invited to give a talk of “Apply deep learning (DL) to discover cancer treatments that overcome drug resistance”.
2023-11-09
Dr. Li Xing, CEO of LexBio, was invited as a special guest to present a keynote speech on the topic of "The Application of AI Technology in the Small Molecule Drug Discovery".
2023-09-27
Dr. Li Xing delivered a keynote speech in the "Antibody Upstream and Downstream Processes" session, sharing insights on "Opportunities in Accelerating Antibody Discovery with Artificial Intelligence".
2023-09-27
Dr. Xing was invited to share "AI accelerated discovery of novel cancer therapies that overcome drug resistance". The Forum brings together executives and experts of the world to share key opinions.
2023-09-27
E-mail:
contact@lexbiotx.com
Address:
328 Xinghu Road, Suzhou Industrial Park, China