Building a ML-based QSAR model for predicting the bioactivity of therapeutically active drug class with imidazole scaffold
Human immunodeficiency virus, a retrovirus, causes AIDS, a chronic immune system disease. HIV interferes with the ability of our body to combat disease and infection by weakening our immune system. An essential enzyme necessary for HIV replication is reverse transcriptase (RT). RT inhibitors (RTIs)...
Saved in:
Main Authors: | Komal Singh (Author), Irina Ghosh (Author), Venkatesan Jayaprakash (Author), Sudeepan Jayapalan (Author) |
---|---|
Format: | Book |
Published: |
Elsevier,
2024-08-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
QSAR and Molecular Docking Studies on Non-Imidazole-Based Histamine H3 Receptor Antagonists
by: Maryam Hamzeh-Mivehroud, et al.
Published: (2020) -
Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor
by: Natalia Czub, et al.
Published: (2021) -
Antioxidant Activity of Pharmaceuticals: Predictive QSAR Modeling for Potential Therapeutic Strategy
by: Mario-Livio Jeličić, et al.
Published: (2022) -
3D-QSAR study of benzotriazol-1-yl carboxamide scaffold as monoacylglycerol lipase inhibitors
by: Obaid Afzal, et al.
Published: (2014) -
Do AutoML-Based QSAR Models Fulfill OECD Principles for Regulatory Assessment? A 5-HT<sub>1A</sub> Receptor Case
by: Natalia Czub, et al.
Published: (2022)