In silico identification of 1,2,4-triazoles as potential Candida Albicans inhibitors using 3D-QSAR, molecular docking, molecular dynamics simulations, and ADMET profiling
Titel:
In silico identification of 1,2,4-triazoles as potential Candida Albicans inhibitors using 3D-QSAR, molecular docking, molecular dynamics simulations, and ADMET profiling
Auteur:
Bouamrane, Soukaina Khaldan, Ayoub Hajji, Halima El-mernissi, Reda Alaqarbeh, Marwa Alsakhen, Nada Maghat, Hamid Ajana, Mohammed Aziz Sbai, Abdelouahid Bouachrine, Mohammed Lakhlifi, Tahar