التفاصيل البيبلوغرافية
| العنوان: |
Narrow funnel-like interaction energy distribution is an indicator of specific protein interaction partner |
| المؤلفون: |
Juyoung Choi |
| المصدر: |
iScience, Vol 26, Iss 6, Pp 106911- (2023) |
| بيانات النشر: |
Elsevier, 2023. |
| سنة النشر: |
2023 |
| المجموعة: |
LCC:Science |
| مصطلحات موضوعية: |
Artificial intelligence, Biochemistry, Biochemistry methods, Machine learning, Protein, Science |
| الوصف: |
Summary: Protein interaction networks underlie countless biological mechanisms. However, most protein interaction predictions are based on biological evidence that are biased to well-known protein interaction or physical evidence that exhibits low accuracy for weak interactions and requires high computational power. In this study, a novel method has been suggested to predict protein interaction partners by investigating narrow funnel-like interaction energy distribution. In this study, it was demonstrated that various protein interactions including kinases and E3 ubiquitin ligases have narrow funnel-like interaction energy distribution. To analyze protein interaction distribution, modified scores of iRMS and TM-score are introduced. Then, using these scores, algorithm and deep learning model for prediction of protein interaction partner and substrate of kinase and E3 ubiquitin ligase were developed. The prediction accuracy was similar to or even better than that of yeast two-hybrid screening. Ultimately, this knowledge-free protein interaction prediction method will broaden our understanding of protein interaction networks. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2589-0042 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2589004223009884; https://doaj.org/toc/2589-0042 |
| DOI: |
10.1016/j.isci.2023.106911 |
| URL الوصول: |
https://doaj.org/article/b4ac782ab2af4b4a80aec2f87dce67ab |
| رقم الانضمام: |
edsdoj.b4ac782ab2af4b4a80aec2f87dce67ab |
| قاعدة البيانات: |
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