New method for accurate prediction of solvent accessibility from protein sequence

Proteins: Structure, Function and Genetics

Volumn 42, Issue 1, 2001, Pages 1-5

  Li, Xia ^a   Pan, Xian Ming ^a  

^a INSTITUTE OF BIOPHYSICS   (China)

Author keywords

Chain length effect; Multiple linear regression; Protein structure prediction; Solvent accessibility

Indexed keywords

SOLVENT;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; GENETIC PROCEDURES; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; TECHNIQUE;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; ANIMALS; DATABASES, FACTUAL; HUMANS; LINEAR MODELS; MODELS, CHEMICAL; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEINS; SOLVENTS; THERMODYNAMICS;

EID: 0035189668     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/1097-0134(20010101)42:1<1::AID-PROT10>3.0.CO;2-N     Document Type: Article

References (15)

1. Prediction of protein conformation
2. Structural principles of the globular organization of protein chain: A stereochemical theory of globular protein secondary structure
3. Predicting solvent accessibility: Higher accuracy using Bayesian statistics and optimized residue substitution classes
4. Use of amino acid environment-dependent substitution tables and conformational propensities in structure prediction from aligned sequences of homologous proteins. I. Solvent accessibility classes
5. Conservation and prediction of solvent accessibility in protein families
6. Predicting surface exposure of amino acids from protein sequence
7. New methods for accurate prediction of protein secondary structure
8. Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
9. Dictionary of protein secondary structures: Pattern recognition of hydrogen bonded and geometrical features
10. Environment and exposure to solvent of protein atoms: Lysozyme and insulin
11. Principles that govern the folding of protein chains
12. Protein structure prediction
13. Prediction of the secondary structure contents of globular proteins based on three structural classes
14. Hybrid system for protein secondary structure prediction
15. How good is prediction of protein structural class by the component-coupled method?