Add to ORKGmCSM: predicting the effects of mutations in proteins using graph-based signature
Predicting protein b-sheet contacts using a maximum entropy-based correlated mutation measur
A statistical approach using network structure in the prediction of protein characteristic
Disease-specific genomic analysis: identifying the signature of pathologic biolog
MOTIVATION: Mutations play fundamental roles in evolution by introducing diversity into genomes. Mis...
Next-generation sequencing methods have not only allowed an understanding of genome sequence variati...
The ability to predict how a mutation affects ligand binding is an essential step in understanding, ...
Predicting protein b-sheet contacts using a maximum entropy-based correlated mutation measur
Over the past two decades, several computational methods have been proposed to predict how missense ...
Predicting disulfide bond connectivity in proteins by correlated mutations analysi
Protein-protein Interactions are involved in most fundamental biological processes, with disease cau...
Accurate prediction of stability changes in protein mutants by combining machine learning with struc...
Protein-protein Interactions are involved in most fundamental biological processes, with disease cau...
Significant efforts have been invested into understanding and predicting the molecular consequences ...
A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations G...
Recent analyses of human genome sequences have given rise to impressive advances in identifying non-...
Predicting protein b-sheet contacts using a maximum entropy-based correlated mutation measur
A statistical approach using network structure in the prediction of protein characteristic
Disease-specific genomic analysis: identifying the signature of pathologic biolog
MOTIVATION: Mutations play fundamental roles in evolution by introducing diversity into genomes. Mis...
Next-generation sequencing methods have not only allowed an understanding of genome sequence variati...
The ability to predict how a mutation affects ligand binding is an essential step in understanding, ...
Predicting protein b-sheet contacts using a maximum entropy-based correlated mutation measur
Over the past two decades, several computational methods have been proposed to predict how missense ...
Predicting disulfide bond connectivity in proteins by correlated mutations analysi
Protein-protein Interactions are involved in most fundamental biological processes, with disease cau...
Accurate prediction of stability changes in protein mutants by combining machine learning with struc...
Protein-protein Interactions are involved in most fundamental biological processes, with disease cau...
Significant efforts have been invested into understanding and predicting the molecular consequences ...
A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations G...
Recent analyses of human genome sequences have given rise to impressive advances in identifying non-...
Predicting protein b-sheet contacts using a maximum entropy-based correlated mutation measur
A statistical approach using network structure in the prediction of protein characteristic
Disease-specific genomic analysis: identifying the signature of pathologic biolog