# SwissDock 2024: major enhancements for small-molecule docking with Attracting Cavities and AutoDock Vina

*PRI Rank #4 · 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-4*

| Field | Value |
| --- | --- |
| Rank | #4 |
| 18m citations | 265 |
| Journal | Nucleic Acids Research |
| Year | 2024 |
| DOI | 10.1093/nar/gkae300 |
| Corresponding authors | Olivier Michielin |
| Institution | SIB Swiss Institute of Bioinformatics, Switzerland |

**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:** [10.1093/nar/gkae300](https://doi.org/10.1093/nar/gkae300)

## Topics

SwissDock · Molecular docking · Molecular docking · Attracting Cavities · AutoDock Vina · EADock DSS · SwissDrugDesign · ligand preparation · target preparation · SMILES · PDB files · PDB ID · covalent ligand docking · Drug-target interaction · docking accuracy · web-based docking service · command-line interface · Virtual screening

## 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
```