
handle: 11562/324200 , 11585/67695
1 The folding problem 2 The evolution of protein structures and its implications for protein structure prediction 3 Template based modelling 3.1 Homology-based selection of the template 3.2 Fold recognition 3.3 Using sequence based tools for selecting the template 3.4 Completing and refining the model 3.5 Current state of the art in template based methods 4 Template-free protein structure prediction 4.1 Energy functions for protein structure prediction 4.2 Lattice methods 4.3 Fragment assembly methods 4.4 Practical considerations 5 Automated structure prediction 5.1 Practical lessons from benchmarking experiments 6 Conclusions and future outlook
Annotation; Bioinformatics; Biosapiens, PROTEIN STRUCTURE PREDICTION; MACHINE LEARNING METHODS; COMPARATIVE MODELLING; THREADING; AB INITIO PREDICTION
Annotation; Bioinformatics; Biosapiens, PROTEIN STRUCTURE PREDICTION; MACHINE LEARNING METHODS; COMPARATIVE MODELLING; THREADING; AB INITIO PREDICTION
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
