In Silico Conotoxin Studies: Progress and Prospects
Author Information
Author(s): Li Ruihan, Hasan Md. Mahadhi, Wang Dan
Primary Institution: Jiangsu University
Conclusion
The review highlights the significant contributions of in silico strategies to conotoxin studies and drug discovery, while also addressing the limitations and future prospects in this field.
Supporting Evidence
- Conotoxins are small peptides with therapeutic potential, yet over 99% remain unsequenced.
- In silico strategies have made substantial contributions to drug discovery from conotoxins.
- Machine learning methods are increasingly being applied to classify conotoxins and predict their interactions.
Takeaway
Scientists are using computers to study cone snail venom, which can help create new medicines, but there are still many challenges to overcome.
Methodology
The review includes bibliometric analysis and discusses various in silico strategies such as machine learning and molecular docking used in conotoxin studies.
Limitations
The study notes that over 99% of conotoxins remain unsequenced and highlights the challenges in predicting their structures and functions due to extensive post-translational modifications.
Digital Object Identifier (DOI)
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