Multimodal neural network for enhanced protein stability prediction by integration of contact scores and spatial maps
The prediction of protein stability changes upon mutation remains a significant challenge in bioinformatics, with implications for understanding disease mechanisms and drug design. Despite progress through machine learning and neural network models, there is a need for more accurate predictive model...
Saved in:
| Main Authors: | G Gladstone Sigamani, P.M. Durai Raj Vincent |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302401692X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spectral Mapping Using Kernel Principal Components Regression for Voice Conversion
by: Peng SONG, et al.
Published: (2013-03-01) -
Adjacent Inputs With Different Labels and Hardness in Supervised Learning
by: Sebastian A. Grillo, et al.
Published: (2021-01-01) -
Improving Sentiment Analysis Accuracy Using CRNN on Imbalanced Data: a Case Study of Indonesian National Football Coach
by: Slamet Riyadi, et al.
Published: (2024-11-01) -
A Novel Supervised Learning Based on Density
by: Umut Orhan, et al.
Published: (2015-01-01) -
A novel deep learning model based on YOLOv5 optimal method for coal gangue image recognition
by: Tongkai Gu, et al.
Published: (2025-05-01)