Natalia Karimova
Computational Chemist Bioinformatician @Rayca Precision
Signup · Get unlimited contacts
WORK HISTORY
Computational Chemist Bioinformatician @Rayca Precision
Generative AI project for bispecific antibody design — developing antibodies that simultaneously target tumor-associated proteins and engage immune effector cells.• Engineered AI-guided bispecific antibodies targeting tumor-associated antigens and FcγR on immune effector cells by integrating structure prediction (AlphaFold, ProteinMPNN, DiffAb, RFDiffusion, RFantibody), docking (Rosetta, HDock), and developability screening pipelines. • Employed ProteinSol, Aggrescan, and NetMHCIIpan to triage candidates for solubility, aggregation, and immunogenicity risks. • Leveraged Jupyter, Python, Bash, ESM, SHAP, UMAP, and HDBSCAN for model explainability and antibody clustering.• Automated workflows in Python/JupyterLab, scaled on HPC, and refined hits via MD (GROMACS).
EDUCATION
Irkutsk State University
BS/MS, Chemistry
Kansas State University
Ph.D., Physical Chemistry
UC Irvine
Data Analysis
Caltech
ML/AI
ABOUT NATALIA KARIMOVA
Experienced and self-motivated research scientist and data scientist specializing in…
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.