# Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation

*PRI Rank #11 · Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026/rank-11*

| Field | Value |
| --- | --- |
| Rank | #11 |
| 18m citations | 146 |
| Journal | Molecular Cancer |
| Year | 2024 |
| DOI | 10.1186/s12943-024-02140-6 |
| Corresponding authors | Song‐Bin Guo, Weijuan Huang |
| Institution | Sun Yat-Sen University Cancer Center, China |

**Ranking page:** [Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026](https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026)

**Paper link:** [10.1186/s12943-024-02140-6](https://doi.org/10.1186/s12943-024-02140-6)

## Topics

AlphaFold · Protein structure prediction · artificial intelligence · Drug discovery · Molecular dynamics simulation · scientometric analysis · machine-learning-driven informatics · unsupervised clustering algorithm · Walktrap algorithm · hotspot burst analysis · SARS-CoV-2 · COVID-19 · vaccine design · homology modeling · Virtual screening · membrane protein · structural biology · time series tracking · global impact assessment

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026. https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026. Accessed 2026-07-22.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```