Receptor.AI Develops Next Generation Drug Discovery Platform It's based on the synergy of AI, computational chemistry and biology to design new drugs, assess their safety and efficiency and more. Read full article here (lnkd.in/enVwFgPK) 😊 #ai #drugdiscovery

Look at this incredible illustration of how a COVID-19 vaccine works at the molecular level. x.com/SamIAm2021MD/s…

The problem of chemical synthesis in drug discovery is often considered “solved” and purely technical. It is based on an overwhelming amount of data; thus it is tempting to deal with it using machine learning. Learn more medium.com/receptor-ai/th…

The first research paper (sciencedirect.com/science/articl…) authored by Receptor.AI is out! In this review our CSO Semen Yesylevskyy together with a team of French scientists summarizes existing approaches to molecular modeling in cardiovascular pharmacology. #AI #ML

#Polypharmacology refers to a single drug that acts on multiple targets, which may be associated with different disease pathways. Learn how #AI contributes to understanding polypharmacology with explainable #ML in RECEPTOR.AI's new article (lnkd.in/d85SUC4h).

In 2020, 133 new #drugs were approved, but only 37% of them were developed by #pharmaceutical giants, while 63% originate from small and medium enterprises. Receptor.AI is aiming at changing the situation. biopharmatrend.com/post/466-recep… #drugdiscovery

This AI Startup Joins Forces With NVIDIA's BioNeMo to Boost Drug Discovery biopharmatrend.com/post/759-accel… #biopharmatrend

.Receptor.AI has enhanced its Computer Assisted Drug Discovery (CADD) platform by integrating NVIDIA #BioNeMo cloud APIs. Learn how virtual screening, ADMET prediction, and ligand pose prediction are now faster and more efficient than ever. nvda.ws/3OLzKJ0 #GenerativeAI

Excited to announce Dr. Alan Nafiev represented us at Nvidia GTC on Mar 21, discussing the topic of "Advancing Drug Design with Generative AI." A big thanks to NVIDIA GTC for hosting the conference and everyone who joined us! #NvidiaGTC #GenerativeAI #DrugDesign #Innovation