Machine learning and biological evaluation-based identification of a potential MMP-9 inhibitor, effective against ovarian cancer cells SKOV3-Reference-Cited by-同舟云学术

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Machine learning and biological evaluation-based identification of a potential MMP-9 inhibitor, effective against ovarian cancer cells SKOV3

Published:2023-07-28 Issue: Volume: Page:1-19
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Sinha Khushboo¹²,Parwez Shahid³²,MV Shahana¹,Yadav Ananya¹,Siddiqi Mohammad Imran³²,Banerjee Dibyendu¹²

Affiliation:

1. Cancer Biology Division, CSIR-Central Drug Research Institute, Lucknow, India

2. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India

3. Biochemistry and Structural Biology Division, CSIR-Central Drug Research Institute, Lucknow, India

Funder

Council of Scientific and Industrial Research (CSIR)-Pan-Cancer

Science and Engineering Research Board

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2240416

Reference107 articles.

1. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

2. Zinc-Binding Groups Modulate Selective Inhibition of MMPs

3. Improvement of Virtual Screening Results by Docking Data Feature Analysis

4. Role of matrix metalloproteinase-9 in transforming growth factor-β1-induced epithelial–mesenchymal transition in esophageal squamous cell carcinoma

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