Computational Peptide Design Scientist
Dr. Sofia Moretti obtained her PhD in Computational Biology from the University of Bologna, followed by postdoctoral work at the Scripps Research Institute. She develops machine learning models for de novo peptide design, specializing in AlphaFold-based structure prediction and molecular dynamics simulations. Her algorithms have reduced peptide lead optimization timelines by 60%.
PhD Computational Biology, University of Bologna; Postdoc, Scripps Research Institute
ML-driven peptide design, molecular dynamics, AlphaFold applications
AI peptide design engine, MD simulation pipeline, Virtual screening platform
An evidence-based exploration of How Is The Peptide Bond Formed and its applications. Analysis of clinical data, mechani...
An evidence-based exploration of Direct Peptide Co and its applications. Analysis of clinical data, mechanisms, and expe...
An evidence-based exploration of Vip Peptide Side Effects and its applications. Analysis of clinical data, mechanisms, a...
An evidence-based exploration of Cyclic Citrullinated Peptide Ccp and its applications. Analysis of clinical data, mecha...
An evidence-based exploration of Peptide Hormone and its applications. Analysis of clinical data, mechanisms, and expert...
An evidence-based exploration of Medik8 Oxy-R Peptides and its applications. Analysis of clinical data, mechanisms, and ...
PeptaVolt
License: BUS-2018-09134-MA
GMP: GMP-2023-6103-US
ISO: ISO 9001:2015 / ISO 13485:2016