DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function.
Jae-Won LeeJong-Hyun WonSeonggwang JeonYujin ChooYubin YeonJin-Seon OhMinsoo KimSeonhwa KimInSuk JoungCheongjae JangSung Jong LeeTae Hyun KimKyong Hwan JinGiltae SongEun-Sol KimJejoong YooEunok PaekYung-Kyun NohKeehyoung JooPublished in: Bioinform. (2023)
Keyphrases
- energy function
- loss function
- graph cuts
- protein structure prediction
- markov random field
- energy minimization
- pairwise
- risk minimization
- belief propagation
- active contours
- loss minimization
- hopfield neural network
- global minimum
- machine learning
- support vector
- information retrieval
- level set
- feature set
- maximum a posteriori
- natural language processing
- protein sequences
- cost function
- feature space
- social networks