Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease

2023/12/29 by Vinay Kumar, Arkaprava Banerjee, Kunal Roy · 1 voice · 1 citation
Computer Science · Materials Science · Medicine · #Cholinesterase and Neurodegenerative Diseases #Computational Drug Discovery Methods #Machine Learning in Materials Science

paper · doi:10.1016/j.chemolab.2023.105049

openalex publication_date 2023/12/29 · crossref created 2023/12/29 · crossref issued 2024/02/01 · crossref published 2024/02/01 · crossref published-print 2024/02/01 · openalex created_date 2025/10/10 · crossref deposited 2026/04/30 · crossref indexed 2026/07/24 · openalex updated_date 2026/07/25

Citations

• Ridge Regression: Applications to Nonorthogonal Problems
• Stochastic gradient boosting
• First report of q-RASAR modeling toward an approach of easy interpretability and efficient transferability

Cited by

• First report on QSAR modelling for chemical penetration enhancement ratio (ER) of different FDA-approved drugs in Poloxamer 407: A next step towards better skin permeability of drugs

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