Biology42
Available for licensing
Indication
Phase II
Phase I
IND-enabling
Lead opt.
Hit-to-lead
Target ID
Over 20 additional newly initiated programs in the discovery stage
Medicine42
Science42
Large Language of Life Models (LLLMs)
LLM Assistant
Generative AI Software for Drug Discovery, Scientific Research & Sustainability
High Quality Therapeutic Programs Discovered Using Generative AI and Robotics
Interested in learning more about Pharma.ai?
Generative AI and Robotics
for Longevity and Sustainability
for Longevity and Sustainability
Our mission is to extend healthy productive longevity for everyone
by transforming drug discovery and development with generative artificial intelligence, significantly reducing the time and cost to bring life-saving medications to patients.
How Early Protein Modeling Advanced to AI-Driven Drug Discovery with Insilico Medicine
Stanford professor Michael Levitt, PhD, a member of Insilico Medicine's Scientific Advisory Board, won the Nobel Prize in Chemistry in 2013 for his groundbreaking work in protein structure and protein folding using computer modeling.
"Uncertainty is a good thing. By combining data with clever filtering we get certainty and options from uncertainty." Dr. Levitt sees massive possibilities ahead. "The protein-folding problem that was a very difficult problem for 50 years, and drug design, are all being dealt with in this global, all-encompassing way.
And I am personally very, very optimistic."
And I am personally very, very optimistic."
In this lecture, Dr. Levitt describes how the work he began over 50 years ago has been vastly improved and expanded through the massive increase in computer speed and incredible advances in machine learning. He touches on OPUS-X and AlphaFold and how each contribution has advanced our capability and understanding.
Now, says Dr. Levitt, Insilico Medicine is using AI to create an entirely new AI-driven drug discovery pipeline from A to Z. Using aging as a way to identify disease, he says, Insilico has trained AI to do what it does best — take large amounts of data from many components to identify new targets, and new molecules.
Now, says Dr. Levitt, Insilico Medicine is using AI to create an entirely new AI-driven drug discovery pipeline from A to Z. Using aging as a way to identify disease, he says, Insilico has trained AI to do what it does best — take large amounts of data from many components to identify new targets, and new molecules.
Most innovative biotechnology company in the world 2024
TNIK
TNIK Inhibitor: Treating Fibrotic diseases of the Lung and Kidney
USP1
Ubiquitin Specific Protease 1 (USP1) Inhibitor for the treatment of BRCA-mutant cancer
QPCTL
Glutaminyl-peptide cyclotransferase-like protein (QPCTL) Inhibitor: Novel cancer immunotherapy for COLD tumors
PHD
Proline Hydroxylase (PHD) Inhibitors: Treatment of Inflammatory Bowel Disease (IBD) and Chronic Kidney Disease (CKD)
MAT2A
Methionine adenosyltransferase 2α (MAT2A) Inhibitor: Treatment of MTAP Deficient Cancer
TEAD
Pan-TEAD Inhibitor: Treating Mesothelioma, and Solid Tumors
ENPP1
Ectonucleotide phosphodiesterase 1 (ENPP1) Inhibitor: Treating anti-PD-1/-L1 resistant cancers
KAT6
KAT6 Inhibitor: Treatment of ER+/HER2- Breast Cancer
DGKA
Diacylglycerol kinase A (DGKA) Inhibitor: Treating solid tumors in combination with checkpoint inhibitor
CDK12
Cyclin-dependent kinase 12 (CDK12) Inhibitor: Treating Tumors by Induction of BRCAness
FGFR2/3
FGFR2/3 Dual Inhibitor: Treatment of Solid Tumors
KIF18A
KIF18A Inhibitor: Treating chromosomally unstable cancers with TP53 mutations
3CLPro
Orally Available covalent irreversible 3CLPro Inhibitor for the Treatment of COVID-19 and Coronavirus infection
Boston
1000 Massachusetts Avenue, Suite 126,
Cambridge, MA 02138
Cambridge, MA 02138
NEW YORK
Insilico Medicine
Park Avenue South
NY, NY, Suite 010, 10010
Park Avenue South
NY, NY, Suite 010, 10010
MONTREAL
1250 René-Lévesque Ouest,
Suite 3710, Montréal, Québec,
Canada H3B 4W8
Suite 3710, Montréal, Québec,
Canada H3B 4W8
Suzhou
Unit 301, Building 4, Area B, Phase III, Biomedical Industrial Park, No. 99 Jingu Road, Suzhou Industrial Park, Huqiu District, Suzhou, Jiangsu Province
Abu dhabi
Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi, United Arab Emirates
Shanghai
9F, Chamtime Plaza Block C, Lane 2889, Jinke Road, Pudong New Area, Shanghai
Taipei
Suite 1303, No. 333, Sec. 1, Keelung Rd., Xinyi Dist., Taipei, 110, Taiwan
Hong Kong
Unit 310, 3/F, Building 8W, Phase 2, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong