Indiana University
IUSM IU
IU School of Medicine
Yaoqi Zhou Lab
back BACK
Services - Yaoqi Zhou Lab

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

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.[xx] 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
Copyright (c) 2005-2007, IUPUI, IN.
Credit: The background for SCUD image and logo in EMPIRE image were from google image.