In-Silico Approaches for Molecular Characterization and Structure-Based Functional Annotation of the Matrix Protein from Nipah henipavirus

Author:

Saikat Abu Saim MohammadORCID,Paul Apurbo Kumar,Dey DiptaORCID,Das Ranjit ChandraORCID,Das Madhab Chandra

Publisher

MDPI

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The application and comparison of Deep Learning models for the prediction of chest cancer prognosis;2023 International Conference on Smart Applications, Communications and Networking (SmartNets);2023-07-25

2. Computational Approaches for Structure-Based Functional Annotation of an Uncharacterized Conserved Protein of Acinetobacter baumannii;The 2nd International Electronic Conference on Processes: Process Engineering—Current State and Future Trends;2023-05-17

3. Bioinformatics Approaches for Structural and Functional Annotation of an Uncharacterized Protein of Helicobacter pylori;ECP 2023;2023-05-17

4. A Bioinformatic Approach for Molecular Characterization and Functional Annotation of an Uncharacterized Protein from Vibrio cholerae;ECP 2023;2023-05-17

5. Heart Disease Detection Using ML;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08

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