
Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation
Author(s) -
Eesha Khare,
ChiHua Yu,
Constancio González Obeso,
M. Milazzo,
David L. Kaplan,
Markus J. Buehler
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2209524119
Subject(s) - stability (learning theory) , denaturation (fissile materials) , computer science , algorithm , ex vivo , toughness , materials science , biological system , chemistry , in vitro , biochemistry , machine learning , biology , composite material , nuclear chemistry