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In Silico Prediction of New Inhibitors for Kirsten Rat Sarc..:
Ajmal, Amar
;
Danial, Muhammad
;
Zulfat, Maryam
...
Pharmaceuticals. 17 (2024) 5 - p. 551 , 2024
Link:
https://doi.org/10.3390/ph17050551
RT Journal T1
In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_ph17050551&Exemplar=1&LAN=DE A1 Ajmal, Amar A1 Danial, Muhammad A1 Zulfat, Maryam A1 Numan, Muhammad A1 Zakir, Sidra A1 Hayat, Chandni A1 Alabbosh, Khulood Fahad A1 Zaki, Magdi E. A. A1 Ali, Arif A1 Wei, Dongqing PB MDPI AG YR 2024 SN 1424-8247 JF Pharmaceuticals VO 17 IS 5 SP 551 LK http://dx.doi.org/https://doi.org/10.3390/ph17050551 DO https://doi.org/10.3390/ph17050551 SF ELIB - SuUB Bremen
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