A sequence-based evolutionary distance method for Phylogenet…
Emerging
3
Citations46
Refs2023
Year
Search Works
Work Details
- DOI 10.1038/s41598-023-47496-9
- PMID https://pubmed.ncbi.nlm.nih.gov/37985846
- OpenAlex ID W4388818707
- Type Article
- Language EN
- Published 20 Nov 2023
- Volume 13 (1)
- Pages 20304
- Source Scientific Reports
- Publisher Nature Portfolio
- FWCI 0.22
- Countries 1
- Institutions 1
- Added 10 Oct 2025
- Updated 16 Oct 2026
External Links
MENU
0
A sequence-based evolutionary distance method for Phylogenetic analysis of highly divergent proteins
Article 2023 EN Gold
Because of the limited effectiveness of prevailing phylogenetic methods when applied to highly divergent protein sequences, the phylogenetic analysis problem remains challenging. Here, we propose a sequence-based evolutionary distance algorithm termed sequence distance (SD), which innovatively incorporates site-to-site correlation within protein sequences into the distance estimation. In protein s…
3
Citations
46
References
6
Authors
0.22
FWCI
Citations by Year
Last 3 yearsTopics
Keywords
Authors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Wei Cao | Tsinghua University (CN) | — |
| 2 | Lu-Yun Wu | Tsinghua University (CN) | — |
| 3 | Xia-Yu Xia | Tsinghua University (CN) | — |
| 4 | Xiang Chen | Tsinghua University (CN) | |
| 5 | Zhi‐Xin Wang Corresponding | Tsinghua University (CN) | |
| 6 | Xian‐Ming Pan Corresponding | Tsinghua University (CN) | — |
Related Works
10Data: OpenAlex