SIREs 2.0 – Iron Responsive Elements Prediction Server

SIREs 2.0

:: DESCRIPTION

The SIREs (searching for IREs) web server will predict iron-responsive elements in RNA or DNA sequences based on a sequence searcher Perl program.

::DEVELOPER

SIREs team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2010 Jul;38(Web Server issue):W360-7. doi: 10.1093/nar/gkq371. Epub 2010 May 11.
SIREs: searching for iron-responsive elements.
Campillos M1, Cases I, Hentze MW, Sanchez M.

NGlycPred – N-linked Glycosylation Prediction Server Incorporating Structural Information and Patterns

NGlycPred

:: DESCRIPTION

NGlycPred predicts the glycan occupancy of N-X-T/S sequons of eukaryotic proteins.

::DEVELOPER

NGlycPred team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2012 Sep 1;28(17):2249-55. doi: 10.1093/bioinformatics/bts426. Epub 2012 Jul 10.
Computational prediction of N-linked glycosylation incorporating structural properties and patterns.
Chuang GY1, Boyington JC, Joyce MG, Zhu J, Nabel GJ, Kwong PD, Georgiev I.

SVM-PB-Pred – Protein Block (PB) prediction server

SVM-PB-Pred

:: DESCRIPTION

The SVM-PB-Pred is a Protein Block (PB) prediction server based on Support Vector Machine (SVM) approach.

::DEVELOPER

Research Group of Dr.S.Parthasarathy

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Protein Pept Lett. 2014;21(8):736-42.
SVM-PB-Pred: SVM based protein block prediction method using sequence profiles and secondary structures.
Suresh V, Parthasarathy S

RPI-Pred – RNA-protein Interaction Prediction Server

RPI-Pred

:: DESCRIPTION

RPI-Pred (RNA-protein interaction predictor) is a RNA-protein interaction prediction server based on Support Vector Machine (SVM).

::DEVELOPER

Center for Bioinformatics & Systems Biology, Wake Forest University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information.
Suresh V, Liu L, Adjeroh D, Zhou X.
Nucleic Acids Res. 2015 Feb 18;43(3):1370-9. doi: 10.1093/nar/gkv020.

PSOPIA 20130501 – Prediction Server of Protein-Protein Interactions

PSOPIA 20130501

:: DESCRIPTION

PSOPIA (Prediction Server Of Protein-protein InterActions) is an AODE for predicting protein-protein interactions using three seqeucne based features; (I) sequence similarities to a known interacting protein pair, (II) statistical propensities of domain pairs observed in interacting proteins and (III) a sum of edge weights along the shortest path between homologous proteins in a PPI network.

::DEVELOPER

the Mizuguchi Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2014 Jun 23;15:213. doi: 10.1186/1471-2105-15-213.
Homology-based prediction of interactions between proteins using Averaged One-Dependence Estimators.
Murakami Y, Mizuguchi K.

AtSubP – Arabidopsis Subcellular Localization Prediction Server

AtSubP

:: DESCRIPTION

AtSubP (for Arabidopsis subcellular localization predictor) is an integrative support vector machine-based localization predictor that is based on the combinatorial presence of diverse protein features, such as its amino acid composition, sequence-order effects, terminal information, Position-Specific Scoring Matrix, and similarity search-based Position-Specific Iterated-Basic Local Alignment Search Tool information.

::DEVELOPER

The Zhao Bioinformaitcs Lab at the Samuel Roberts Noble Foundation

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Plant Physiol. 2010 Sep;154(1):36-54. doi: 10.1104/pp.110.156851. Epub 2010 Jul 20.
Combining machine learning and homology-based approaches to accurately predict subcellular localization in Arabidopsis.
Kaundal R1, Saini R, Zhao PX.

FunFOLD 3.0 – Protein-Ligand Binding Site Prediction Server

FunFOLD 3.0

:: DESCRIPTION

The FunFOLD software is freely available as both a standalone package and a prediction server, providing competitive ligand binding site residue predictions for expert and non-expert users alike. The software provides a new fully automated approach for structure based function prediction using 3D models of proteins.

::DEVELOPER

McGuffin Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Java

:: DOWNLOAD

 FunFOLD

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2011 May 16;12:160. doi: 10.1186/1471-2105-12-160.
FunFOLD: an improved automated method for the prediction of ligand binding residues using 3D models of proteins.
Roche DB1, Tetchner SJ, McGuffin LJ.

PFP / ESG – Sequence Similarity-based Protein Function Prediction server

PFP / ESG

:: DESCRIPTION

PFP (Protein Function Prediction) is a sequence similarity-based protein function prediction server designed to predict GO annotations for a query sequence beyond what can be found by conventional database search such as BLAST.It takes into account weakly similar sequences as well as GO term associations observed in known annotations.

ESG (Extended Similarity Group) is a sequence similarity-based protein function prediction server. It employ PSI-BLAST iteratively and essentially selects GO term annotations that appear consistently in the searches.

Combined PFP & ESG interface.

::DEVELOPER

Kihara Bioinformatics Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

PFP/ESG: Automated protein function prediction servers enhanced with Gene Ontology visualization tool.
Khan IK, Wei Q, Chitale M, Kihara D.
Bioinformatics. 2015 Jan 15;31(2):271-2. doi: 10.1093/bioinformatics/btu646.

iLoops – Protein-protein Interaction prediction server based on Structural Features

iLoops

:: DESCRIPTION

The iLoops Server uses the loop classification as defined in ArchDB and/or the SCOP classification of domains to predict whether or not a pair of proteins interact.

::DEVELOPER

Structural BioInformatics Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Sep 15;29(18):2360-2. doi: 10.1093/bioinformatics/btt401. Epub 2013 Jul 9.
iLoops: a protein-protein interaction prediction server based on structural features.
Planas-Iglesias J1, Marin-Lopez MA, Bonet J, Garcia-Garcia J, Oliva B.

CombFunc – Protein Function Prediction Server

CombFunc

:: DESCRIPTION

CombFunc is an automated method for the prediction of protein function. Users can either submit a sequence or use a uniprot identifier.

::DEVELOPER

Structural Bioinformatics Group, Imperial College

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

Nucleic Acids Res. 2012 Jul;40(Web Server issue):W466-70. doi: 10.1093/nar/gks489. Epub 2012 May 27.
CombFunc: predicting protein function using heterogeneous data sources.
Wass MN, Barton G, Sternberg MJ.