Lecture 11, Concept 21: Secondary Structure Prediction

Lecture 11, concept 21: Secondary structure prediction

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Lecture 11, concept 24: Fragment-based ab initio prediction with ROSETTA

Lecture 11, concept 17: Protein structure RMSD vs. sequence identity

Lecture 11, concept 20: Hard predictions are turning easy, impossible ones are becoming tractable

Lecture 11, concept 25: Co-evolution (correlated mutations) improves ab initio prediction

11. RNA Secondary Structure; Biological Functions and Predictions

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Lecture 11, concept 22: Homology modeling

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Lecture 11, concept 26: Deep learning ab initio prediction of protein structure with Alphafold

Secondary Structure Prediction Tutorial | Chou Fasman | Part 1

Lecture 11, concept 14: Protein sequence similarity: From mutation probabilities to scoring matrices

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Lecture 11, concept 23: Homology modeling depends on good alignments and databases - use web servers

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Nnessy: Protein secondary structure prediction via nearest neighbor search and method hybridization

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