| Prediction/analysis Tools for Sequences |
|
Multiple Sequence Alignment & Conserved Motifs Discovery[Sample Input
and Sample Output (All with explanations!)] |
| SPEM |
Ref.[75]
|
Sequence, secondary structure Profiles Enhanced Multiple sequence alignment.
(free download here.) |
| SPEM-3D |
Ref.[75]
|
Sequence, secondary structure Profiles Enhanced Multiple sequence alignment + 3D structures. |
| Prediction/analysis Tools for Secondary Structures |
|
Transmembrane helical topolgy [Sample Input
and Sample Output (All with explanations!)] |
| THUMBUP |
Ref.[56]
|
Predicting transmembrane helical segments with burial propensity. |
| THUMBUP-SP |
|
Possible signal peptides are not excluded from prediction. |
| UMDHMMTMHP |
Ref.[56] |
via Hidden Markov Model |
| TUPS |
Ref.[70] |
Combination of THUMBUP, UMDHMMTMHP, and Phobius Signal peptide filter |
| |
|
Structural Properties of proteins by Integrated NEural networks |
| SPINE/Real-SPINE |
Ref.[83-84] |
Predict secondary structure, solvent accessibility (Real-value), psi torsion angle (Real-value) from a given sequence. |
| |
| |
| Real-SPINE 2.0 |
Ref.[91] |
Predict real-value torsion angles Psi and Phi from a given sequence. |
| Real-SPINE 3.0 |
Ref.[96] |
Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by fast guided-learning through a two-layer neural network |
| SPINE-2D |
Ref.[100] |
Predict protein contact map |
| SPINE XI |
Ref.[104] |
Improving real-value Phi/Psi prediction by combing two-state classifiers with real-value prediction
|
| Prediction/analysis Tools for Tertiary Structures |
|
Fold recognition, alignment and structure prediction [Sample Input and Sample Output (All with explanations!)] |
| SPARKS2 |
Ref.[59] |
Knowledge-based energy score with sequence-profile and secondary structure information. |
| SP3 |
Ref.[66] |
Sequence profiles derived from evolution and from depth-dependent structural alignment of fragments |
| SP4 | Ref.[85] | Fold Recognition by Concurrent Use of Solvent Accessibility and Residue Depth |
| SP5 | Ref.[94] | Improving protein fold recognition by using predicted torsion angles and profile-based gap penalty |
|
| Decoy clustering |
| SCUD |
Ref.[71] |
Fast Structure ClUstering of Decoys
(DFIRE-minimized Helcal Decoys)
|
|
| The Domain Parser |
| DDOMAIN |
Ref.[86] |
Fast structure-based domain prediction using a normalized domain-domain interaction profile |
|
| Consensus Secondary Structure Assignment |
| SKSP |
Ref.[90] |
Structure-based secondary-structure assignment based on the consensus over four independent methods. |
| |
| Prediction/analysis Tools for Interactions |
|
Application of DFIRE energy function [See individual servers for sample input/output] |
| DMONOMER |
Ref.[52]
| Scoring Protein structural monomer. |
| DLOOP |
Ref.[62]
| Scoring loop conformations |
| DMUTANT |
Ref.[52]
| Predicting mutation-induced change in stability |
| DCOMPLEX |
Ref.[61]
| Protein-protein binding affinity and discrimination |
| DDNA |
Ref.[68]
| Protein-DNA binding affinity and discrimination |
| DDNA2 |
Ref.[102]
| Protein-DNA binding affinity and discrimination 2 |
|
Protein binding afinity and binding site prediction |
| EMPIRE |
Ref.[88] |
Binding afinity prediction with an empirical scoring function and a simple reference state. |
|
PINUP |
Ref.[81] |
Binding site prediction with an empirical scoring function. |
| ENDES | Ref.[98] |
Enriching Near-native Docking-decoys Empricial Score (Download from downloads pages) |
| |
| Prediction/analysis Tools for Network Graph |
|
Functional Module Prediction |
| MC2 |
Ref.[80]
| Module identifiCation by Merging Cliques. |
|
Protein Domain Graph Analysis Tools |
| DOGMA |
Ref.[67]
| Webserver that allows on-line Analysis of plant domain graph. |
| |
| Prediction/analysis Tools for Folding Kinetics |
|
Protein folding kinetics |
| TCD |
Ref.[44]
| Folding rate prediction and TCD values |
| Trans. State |
Ref.[65]
| Transition-state size prediction |