AmritX

Small molecules. Broad spectrum.

Therapeutic interventions to prevent and treat infection.

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About Us

We have developed a drug design algorithm, integrated within our therapeutic discovery platform, CANDO (Computational Analysis of Novel Drug Opportunities), which leverages multiscale data to rapidly generate unique, effective, and safe drugs de novo. The novelty of this approach lies in the use of full organismal proteomes to tailor molecules for specific therapeutic uses, while considering toxicity and other pharmacological properties. This approach is in direct contrast to traditional drug discovery pipelines in which a single protein target is used in a large-scale screen of compounds/drugs for a single disease/indication.

 

Leadership

Ram Samudrala, Ph.D.

CEO and co-founder

William Mangione, Ph.D.

CSO and co-founder

Brennan Overhoff

COO and co-founder

Zackary Falls, Ph.D.

Co-founder

The AmritX team has collectively been a part of a twenty year research programme modeling protein and proteome structure, function, interaction, design, and evolution at multiple scales. With more than 140 publications in journals such as Science, Nature, PLoS Biology, the Proceedings of the National Academy of Sciences, and the Journal of the American Medical Association and numerous industry collaborations, the team is well equipped with the academic and commercial experience needed to attack some of  the biggest health threats of our time. 

Media and Publications

Shotgun Drug Repurposing Aids Fight Against COVID-19

University at Buffalo School of Medicine 

2020 NCATS ASPIRE Reduction-to-Practice Challenge Winners

National Center for Advancing Translational Sciences  

cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug–Protein–Disease Data

Journal of Chemical Information and Modeling  

Pipeline

Lead design

Lead synthesis

Preclinical

Phase I

Phase II

Phase III

Fungal infections

15%

Non-small cell lung cancer

30%

Neoplastic diseases

15%