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| Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis |
| Abu Saim Mohammad Saikat |
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Genomics Inform. 2023;21(2):e25 Published online June 30, 2023 DOI: https://doi.org/10.5808/gi.23001 |
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Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis Genomics & Informatics. 2023;21(2):e25  Structure-based computational approaches for characterization and functional elucidation of the fusion protein from Nipah henipavirus . 2022; Structural and functional characterization of a unique hypothetical protein (WP_003901628.1) of Mycobacterium tuberculosis: a computational approach Medicinal Chemistry Research. 2017;26(5):1029-1041 Computational Approaches for the Structure-Based Identification of Novel Inhibitors Targeting Nucleoid-Associated Proteins in Mycobacterium Tuberculosis Molecular Biotechnology. 2023; Structure and function of Rv0130, a conserved hypothetical protein from Mycobacterium tuberculosis Protein Science. 2006;15(10):2300-2309 Computational Approaches for Structure-Based Molecular Characterization and Functional Annotation of the Fusion Protein of Nipah henipavirus The 26th International Electronic Conference on Synthetic Organic Chemistry. 2022; Crystal structure of the conserved hypothetical protein Rv1155 fromMycobacterium tuberculosis FEBS Letters. 2004;579(1):215-221 Structural and Functional Annotation of Hypothetical Protein P9WIB9 of Mycobacterium tuberculosis H37Rv: An In-Silico Approach 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA). 2022; Mycobacterium tuberculosis MT2594 hypothetical protein (MT2594; ldtMt2) Science-Business eXchange. 2010;3(12):378-378 Structure-based in silico approaches for drug discovery against Mycobacterium tuberculosis Computational and Structural Biotechnology Journal. 2021;19:3708-3719 |
