# Druggability of Pharmaceutical Compounds Using Lipinski Rules with Machine Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/druggability-of-pharmaceutical-compounds-using-lipinski-rules-with-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Samukelisiwe Nhlapho,Musawenkosi H.L. Nyathi,Brendeline Ngwenya,Thabile Dube,Arnesh Telukdarie,Inderasan Munien,Andre Vermeulen,Uche A. K. Chude‐Okonkwo |
| Citations | 38 |
| DOI | 10.58920/sciphar0304264 |
| Fields | Chemistry,Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://etflin.com/get-pdf/264 |
| OpenAlex ID | https://openalex.org/W4404894249 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Uche A. K. Chude‐Okonkwo](https://scholariq.org/researchers/uche-a-k-chude-okonkwo/)

## Paper primary topic

- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)

## Paper topics

- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Analytical Chemistry and Chromatography](https://scholariq.org/topics/analytical-chemistry-and-chromatography/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.