Detailed computational study of p53 and p16: using evolutionary sequence analysis and disease-associated mutations to predict the functional consequences of allelic variants.

Greenblatt, M S

Detailed computational study of p53 and p16: using evolutionary sequence analysis and disease-associated mutations to predict the functional consequences of allelic variants. [electronic resource] - Oncogene Feb 2003 - 1150-63 p. digital

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.

0950-9232

10.1038/sj.onc.1206101 doi


Amino Acid Sequence
Amino Acid Substitution
Animals
Bone Neoplasms--pathology
Cell Cycle
Codon--genetics
Computational Biology
Cyclin-Dependent Kinase Inhibitor p16--chemistry
Databases, Protein
Evolution, Molecular
Genes, p16
Genes, p53
Germ-Line Mutation
Humans
Models, Molecular
Molecular Sequence Data
Mutagenesis, Site-Directed
Mutation, Missense
Osteosarcoma--pathology
Protein Conformation
ROC Curve
Sensitivity and Specificity
Sequence Alignment
Sequence Homology, Amino Acid
Species Specificity
Tumor Cells, Cultured
Tumor Suppressor Protein p14ARF--chemistry
Tumor Suppressor Protein p53--chemistry
Vertebrates--genetics