A generic method for assignment of reliability scores applied to solvent accessibility predictions
Background Estimation of the reliability of specific real value predictions is nontrivial and the
efficacy of this is often questionable. It is important to know if you can trust a given prediction …
efficacy of this is often questionable. It is important to know if you can trust a given prediction …
Real value prediction of solvent accessibility from amino acid sequence
The solvent accessibility of amino acid residues has been predicted in the past by
classifying them into exposure states with varying thresholds. This classification provides a …
classifying them into exposure states with varying thresholds. This classification provides a …
Accurate prediction of solvent accessibility using neural networks–based regression
Accurate prediction of relative solvent accessibilities (RSAs) of amino acid residues in
proteins may be used to facilitate protein structure prediction and functional annotation …
proteins may be used to facilitate protein structure prediction and functional annotation …
Linear regression models for solvent accessibility prediction in proteins
The relative solvent accessibility (RSA) of an amino acid residue in a protein structure is a
real number that represents the solvent exposed surface area of this residue in relative …
real number that represents the solvent exposed surface area of this residue in relative …
RVP-net: online prediction of real valued accessible surface area of proteins from single sequences
RVP-net is an online program for the prediction of real valued solvent accessibility. All
previous methods of accessible surface area (ASA) predictions classify amino acid residues …
previous methods of accessible surface area (ASA) predictions classify amino acid residues …
Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure
A Garg, H Kaur, GPS Raghava - Proteins: Structure, Function …, 2005 - Wiley Online Library
The present study is an attempt to develop a neural network‐based method for predicting
the real value of solvent accessibility from the sequence using evolutionary information in …
the real value of solvent accessibility from the sequence using evolutionary information in …
NETASA: neural network based prediction of solvent accessibility
S Ahmad, MM Gromiha - Bioinformatics, 2002 - academic.oup.com
Motivation: Prediction of the tertiary structure of a protein from its amino acid sequence is
one of the most important problems in molecular biology. The successful prediction of …
one of the most important problems in molecular biology. The successful prediction of …
Prediction of coordination number and relative solvent accessibility in proteins
Knowing the coordination number and relative solvent accessibility of all the residues in a
protein is crucial for deriving constraints useful in modeling protein folding and protein …
protein is crucial for deriving constraints useful in modeling protein folding and protein …
Sann: solvent accessibility prediction of proteins by nearest neighbor method
We present a method to predict the solvent accessibility of proteins which is based on a
nearest neighbor method applied to the sequence profiles. Using the method, continuous …
nearest neighbor method applied to the sequence profiles. Using the method, continuous …
Conservation and prediction of solvent accessibility in protein families
Currently, the prediction of three‐dimensional (3D) protein structure from sequence alone is
an exceedingly difficult task. As an intermediate step, a much simpler task has been pursued …
an exceedingly difficult task. As an intermediate step, a much simpler task has been pursued …
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- reliability scores accessibility predictions
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- secondary structure solvent accessibility
- sequence alignment solvent accessibility