logo
ResearchBunny Logo
Protein remote homology detection and structural alignment using deep learning

Biology

Protein remote homology detection and structural alignment using deep learning

T. Hamamsy, J. T. Morton, et al.

Discover groundbreaking advancements in protein remote homology detection with TM-Vec and DeepBLAST, two innovative deep learning methods developed by Tymor Hamamsy and colleagues. These methods not only enhance the identification of remote homology but also outperform traditional structural alignment techniques using just sequence information.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review
Medicine and Health

Recent Advancements and Perspectives in the Diagnosis of Skin Diseases Using Machine Learning and Deep Learning: A Review

J. Zhang, F. Zhong, et al.

Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
Medicine and Health

Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis

P. Xue, J. Wang, et al.

Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning
Medicine and Health

Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning

P. Nderitu, J. M. N. D. Rio, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny