RECEPTOR.AI provides an end-to-end small molecule drug discovery platform for precision and personalised medicine to achieve ultimate selectivity between highly similar off-target proteins.
Chief Executive Officer,
Co-founder
Ph.D. holder in Data Science with expertise in leading AI-driven drug discovery projects. He specializes in designing cloud systems for life sciences, particularly focusing on AI-powered workflows. With a strong background in B2B start-ups, he brings valuable experience to the intersection of data science and the life sciences industry.
Chief Technical Officer,
Co-founder
PhD in Molecular Biology with over 15 years of experience in drug discovery and scientific software development. Medicinal chemist, expert in development of machine-learning models, algorithms for pharmacophore modelling and molecular docking. Author of number of patented anticancer and anti-microbic biologically active compounds.
Chief Scientific Officer,
Co-founder
PhD, Dr.Sci. in biophysics. 20+ years of experience in molecular modelling, computational drug discovery and scientific software development. Author of unique techniques and algorithms in simulations of curved and asymmetric lipid membranes and assessment of drug-membrane interactions.
Head of Medicinal Chemistry
PhD in Chemistry with 25 years of research experience, a pivotal member of the Institute of Molecular Biology and Genetics of the National Academy of Sciences of Ukraine, currently serving as a Senior Research Scientist and Deputy Head of the Department of Medicinal Chemistry. Contributed to over 65 scientific publications, showcasing his extensive research in the field.
Head of Pharmacology
PhD in Pharmacology with 20+ years of R&D experience in Biotech and Big Pharma. Specializes in oncology drug discovery, including targeted and immuno-oncology therapies. Proven leadership guiding teams from early discovery to IND submissions, contributing to approved drugs. Strong record in in vitro and in vivo study design and clinical-stage assay development.
Scientific Advisor
PhD, Professor of Biochemistry and Molecular Biology at University of Texas Medical School with 30+ years of experience in experimental studies of lipid membranes and membrane proteins. An expert in design and assessment of membrane targeting compounds.
Scientific Advisor
Renowned Rachal Professor of Chemistry at Texas A&M, who has made significant contributions to the fields of medicinal and combinatorial chemistry. He applies his expertise in peptido-mimetics, hybrid-peptides and PPI targeting.
Scientific Advisor
PhD, Professor of Physics with 20+ years of experience in quantum chemistry and computational drug design. An expert in simulating interactions of theragnostic nanoparticles with the cell membrane.
AI Drug Discovery
Project Manager
Lead AI Engineer
AI Engineer
Computational Chemistry
Scientist
Medicinal Chemist
AI Platform Developer
AI Solutions Developer
for Drug Discovery
AI Solutions Developer
for Drug Discovery
Drug Discovery
Platform Developer
AI Drug Discovery
Cloud Engineer
Quality Assurance Engineer
TechBio Prospecting
Specialist
BD Executive,
AI-Enabled Therapeutics
Marketing Operations
Specialist
TechBio Sales
Associate