Druggability Assessment in TRAPP Procedure using Machine Learning Approaches

SEEK ID: https://publications.h-its.org/publications/1012

SEEK ID: https://publications.h-its.org/publications/1012

Research Groups: Molecular and Cellular Modeling

Publication type: Master's Thesis

Citation: Master of Scientific Computing, Fakultät für Mathematik und Informatik, Ruprecht-Karls University, Heidelberg

Date Published: 2019

URL:

Registered Mode: imported from a bibtex file