Protein sequence-to-structure learning: Is this the end(-to-end revolution)?
Elodie LaineStephan EismannArne ElofssonSergei GrudininPublished in: CoRR (2021)
Keyphrases
- structure learning
- end to end
- protein sequences
- graphical models
- bayesian networks
- protein structure
- markov logic networks
- transfer learning
- conditional independence
- secondary structure
- parameter estimation
- ad hoc networks
- amino acids
- markov networks
- protein secondary structure
- congestion control
- network structure
- sample size
- gene regulatory networks
- maximum likelihood estimation
- random variables
- high quality
- protein secondary structure prediction
- data mining