日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Leveraging Artificial Intelligence and Gene Expression Analysis to Identify Some Potential Bovine Coronavirus (BCoV) Receptors and Host Cell Enzymes Potentially Involved in the Viral Replication and Tissue Tropism.

利用人工智能和基因表达分析来识别一些可能参与病毒复制和组织嗜性的牛冠状病毒(BCoV)受体和宿主细胞酶

Khan Mohd Yasir, Shah Abid Ullah, Duraisamy Nithyadevi, ElAlaoui Reda Nacif, Cherkaoui Mohammed, Hemida Maged Gomaa

Identification of potential inhibitors of the main protease from feline infectious peritonitis virus using molecular docking and dynamic simulation approaches

利用分子对接和动态模拟方法鉴定猫传染性腹膜炎病毒主蛋白酶的潜在抑制剂

Khan, Mohd Yasir; Shah, Abid Ullah; Duraisamy, Nithyadevi; Moawad, Nadine; ElAlaoui, Reda Nacif; Cherkaoui, Mohammed; Hemida, Maged Gomaa

Machine learning tools used for mapping some immunogenic epitopes within the major structural proteins of the bovine coronavirus (BCoV) and for the in silico design of the multiepitope-based vaccines

利用机器学习工具绘制牛冠状病毒(BCoV)主要结构蛋白中的一些免疫原性表位图谱,并进行基于多表位疫苗的计算机模拟设计。

Duraisamy, Nithyadevi; Khan, Mohd Yasir; Shah, Abid Ullah; Elalaoui, Reda Nacif; Cherkaoui, Mohammed; Hemida, Maged Gomaa