Multimodal generative neural networks and molecular dynamics based identification of PDK1 PIF-pocket modulators

Autor:	Vennila K N, Kuppanagounder P. Elango
Rok vydání:	2022
Předmět:	Chemistry (miscellaneous) Process Chemistry and Technology Materials Chemistry Biomedical Engineering Energy Engineering and Power Technology Chemical Engineering (miscellaneous) Industrial and Manufacturing Engineering
Zdroj:	Molecular Systems Design & Engineering. 7:1085-1092
ISSN:	2058-9689
DOI:	10.1039/d2me00051b
Popis:	Dynamics associated generative neural networks can predict novel PPI modulators for PDK1.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::71f9e389489faae5b66be863c0b3467b https://doi.org/10.1039/d2me00051b Zobrazit plný text záznamu