ACS Omega
(Jan 2024)
iMRSAPred: Improved Prediction of Anti-MRSA Peptides Using Physicochemical and Pairwise Contact-Energy Properties of Amino Acids
- Muhammad Arif,
- Ge Fang,
- Huma Fida,
- Saleh Musleh,
- Dong-Jun Yu,
- Tanvir Alam
Affiliations
- Muhammad Arif
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
- Ge Fang
- State Key Laboratory for Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing, P. R. China
- Huma Fida
- Department of Microbiology, Abdul Wali Khan University, Mardan, KPK, Pakistan
- Saleh Musleh
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
- Dong-Jun Yu
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
- Tanvir Alam
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
- DOI
-
https://doi.org/10.1021/acsomega.3c08303
- Journal volume & issue
-
Vol. 9,
no. 2
pp.
2874
– 2883
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