The bottom line for prediction of residue solvent accessibility
نویسندگان
چکیده
منابع مشابه
A High Performing Tool for Residue Solvent Accessibility Prediction
Many efforts were spent in the last years in bridging the gap between the huge number of sequenced proteins and the relatively few solved structures. Relative Solvent Accessibility (RSA) prediction of residues in protein complexes is a key step towards secondary structure and protein-protein interaction sites prediction. With very different approaches, a number of software tools for RSA predict...
متن کاملPredAcc: prediction of solvent accessibility
UNLABELLED PredAcc is a tool for predicting the solvent accessibility of protein residues from the sequence at different relative accessibility levels (0-55%). The prediction rate varies between 70. 7% (for 25% relative accessibility) and 85.7% (for 0% relative accessibility). Amino acids are predicted in four categories: almost certainly hidden and almost certainly exposed with a given a poste...
متن کاملCombining sequence and structural profiles for protein solvent accessibility prediction.
Solvent accessibility is an important structural feature for a protein. We propose a new method for solvent accessibility prediction that uses known structure and sequence information more efficiently. We first estimate the relative solvent accessibility of the query protein using fuzzy mean operator from the solvent accessibilities of known structure fragments that have similar sequences to th...
متن کاملClassification Comparison of Prediction of Solvent Accessibility From Protein Sequences
The prediction of residue solvent accessibility from protein sequences has been studied by various methods. The direct comparison of these methods is impossible due to the variety of datasets used and the difference in structure definition. In this paper we choose 5 classification approaches (decision tree (DT), Support Vector Machine (SVM), Bayesian Statistics (BS) , Neural Network (NN) and Mu...
متن کاملSann: 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 real-value prediction as well as two-state and three-state discrete predictions can be obtained. The method utilizes the z-score value of the distance measure in the feature vector space to estimate the relative contribut...
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ژورنال
عنوان ژورنال: Protein Engineering, Design and Selection
سال: 1999
ISSN: 1741-0134,1741-0126
DOI: 10.1093/protein/12.12.1051