Related Experiment Video
Updated: Aug 12, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Statistical significance of sequence patterns in proteins
1Department of Mathematics, Stanford University, CA 94305-2125, USA.
Abstract:
I discuss three recent developments in sequence analysis by the statistical method of scores. First is the identification of segments of high aggregate score in a single protein sequence. Charge clusters and hyper-charge runs are prime examples. Proteins containing hyper-charge runs are principally associated with DNA and RNA processing, chromatin structure, ion storage and exchange, and protein complex assembly. Second is the protein sequence comparisons identifying common segments having high total similarity scores. These are illustrated by comparisons within the family of prokaryotic heat shock 70 kDa proteins. Third is the scoring protocols applied to the inverse folding problem.
More Related Videos
Related Concept Videos
Protein Families
Conservation of Protein Domains Over Different Proteins
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Signal Sequences and Sorting Receptors
Protein Organization
The primary structure of a protein is its amino acid sequence.

