> Tag > Links tagged with 'ANN'

Links tagged with 'ANN'

RSS Feed Compact View Sort by Links Directory Index
downloadList as XML List as JSON List as TSV List as CSV

Found 4 links

Displaying 4 links

Resources (0) Databases (0) Tools (4)

AlphaPredTool Content

http://www.imtech.res.in/raghava/alphapred/ [open in a new window]

Share This Link
Protein > 2-D Structure Prediction

The AlphaPred server predicts the alpha turn residues in the given protein sequence. The method is based on the neural network training on PSI-BLAST generated position specific matrices and PSIPRED predicted secondary structure.

This content is being maintained by raghavagps.

links directory index: 39
TitlePublication YearGoogle Scholar Citation Count
Prediction of alpha-turns in proteins using PSI-BLAST profiles and secondary structure information200439
downloadLink as XML Link as JSON Link as TSV Link as CSV
user feedback
0
tagsalpha-turns amino acid sequence ANN molecular sequence data neural networks (computer) prediction protein databases protein sequence analysis proteins roc curve secondary protein structure sequence alignment sequence-to-structure network statistical models structure-to-structure network

CHpredictTool Content

http://www.imtech.res.in/raghava/chpredict [open in a new window]

Share This Link
Protein > Biochemical Features
Protein > Networks & Interactions, Pathways and Enzymes

The CHpredict server predict two types of interactions: C-H...O and C-H...π interactions. For C-H...O interaction, the server predicts the residues whose backbone Cα atoms are involved in interaction with backbone oxygen atoms and for C-H...π interactions, it predicts the residues whose backbone Cα atoms are involved in interaction with π ring system of side chain aromatic moieties.

This content is being maintained by raghavagps.

links directory index: 3
TitlePublication YearGoogle Scholar Citation Count
Prediction of C alpha-H...O and C alpha-H...pi interactions in proteins using recurrent neural network20063
downloadLink as XML Link as JSON Link as TSV Link as CSV
user feedback
0
tagsalgorithms alpha H O amino acid sequence ANN C alpha H pi computer simulation hydrogen bonding hydrogen bonding interactions molecular models molecular sequence data neural networks (computer) protein databases protein sequence analysis proteins secondary protein structure weak interactions

CTLPredTool Content

http://www.imtech.res.in/raghava/ctlpred [open in a new window]

Share This Link
Protein > 3-D Structure Comparison
Protein > Domains and Motifs

CTLPred is a direct method for prediction of CTL epitopes crucial in subunit vaccine design.In direct methods the information or patterns of T cell epitopes instead of MHC binders were used for the development of methods.

This content is being maintained by raghavagps.

links directory index: 100
TitlePublication YearGoogle Scholar Citation Count
Prediction of CTL epitopes using QM, SVM and ANN techniques2004100
downloadLink as XML Link as JSON Link as TSV Link as CSV
user feedback
0
tagsalgorithms ANN antigens artificial intelligence cytotoxic T lymphocyte cytotoxic t-lymphocytes epitopes genetic databases humans major histocompatibility complex neural networks (computer) predictive value of tests QM SVM

TBBpredTool Content

http://www.imtech.res.in/raghava/tbbpred/ [open in a new window]

Share This Link
Protein > Sequence Features

Transmembrane Beta Barrel prediction server predicts the transmembrane Beta barrel regions in a given protein sequence. The server uses a forked strategy for predicting residues which are in transmembrane beta barrel regions. Prediction can be done based only on neural networks or based on statistical learning technique - SVM or combination of two methods.

This content is being maintained by raghavagps.

links directory index: 75
TitlePublication YearGoogle Scholar Citation Count
Prediction of transmembrane regions of beta-barrel proteins using ANN- and SVM-based methods200475
downloadLink as XML Link as JSON Link as TSV Link as CSV
user feedback
0
tagsalgorithms ANN bacterial proteins beta-barrel cell membrane computational biology computer simulation hydrophobic and hydrophilic interactions machine learning techniques membrane proteins molecular evolution molecular models neural networks (computer) pliability secondary protein structure sensitivity and specificity sequence alignment solvents SVM thermodynamics transmembrane

Associated Tag Cloud