Python Script for the QSAR Model Building.

<div><p>For cancer treatment, Inhibition of murine double minute (MDM2) & p53 interaction is considered an attractive therapeutic approach. In this study, we performed an integrated virtual screening (<i>i.e., QSAR,</i> structural similarity, molecular docking, and molecu...

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Bibliographic Details
Main Author:	Md. Al-Amin (6270104) (author)
Other Authors:	Rehnuma Tanjin (21273766) (author), Md. Rasul Karim (21273769) (author), Jannatul Mawa Etee (21273772) (author), Ayesha Siddika (17054483) (author), Nafisa Akter (21273775) (author), Md. Helal Uddin (16510473) (author), Ratul Mahmud (21273778) (author), Tasfia Saffat (21273781) (author), Md. Faruk Hossen (21273784) (author), Samira Idris Mowlee (21273787) (author), Elmu Kabir Rafa (21273790) (author), Sumi Akter (21273793) (author)
Published:	2025
Subjects:	Biophysics Biochemistry Pharmacology Cancer Virology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified murine double minute likeness analysis suggested div >< p attractive therapeutic approach clinical trial inhibitor molecular dynamic simulation cancer activity elucidation predicted pic50 value geissolosimine showed 0 p53 interaction inhibitor p53 interaction molecular docking cancer treatment potential inhibitor vivo assays structural similarity silico </ like compound indole alkaloid geissolosimine (< e .,</ docking score docking result 9 kcal
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Python Script for the QSAR Model Building.

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