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eThread specifications


Unique identifier OMICS_08131
Name eThread
Software type Package/Module
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.0
Stability No
Maintained No


No version available


This tool is not available anymore.


Unique identifier OMICS_08131
Name eThread
Interface Web user interface
Restrictions to use Academic or non-commercial use
Computer skills Basic
Version 1.0
Stability No
Maintained No


This tool is not available anymore.

Publication for eThread

eThread citations


Large scale computational drug repositioning to find treatments for rare diseases

NPJ Syst Biol Appl
PMCID: 5847522
PMID: 29560273
DOI: 10.1038/s41540-018-0050-7

[…] he Orphanet dataset contains proteins associated with rare disorders obtained from Orphanet ( Target structures composed of 50–999 amino acids in both datasets were modeled with eThread, a template-based structure prediction algorithm. In the next step, drug-binding pockets were predicted by eFindSite in confidently modeled target DrugBank and Orphanet proteins whose estimate […]


Across proteome modeling of dimer structures for the bottom up assembly of protein protein interaction networks

BMC Bioinformatics
PMCID: 5427563
PMID: 28499419
DOI: 10.1186/s12859-017-1675-z

[…] mple is glutaminase 2 (glsA2), an amidohydrolase enzyme responsible for generating glutamate from glutamine, demonstrated to be a self-assembling protein []. The GDT of the glsA2 monomer estimated by eThread is 0.78 indicating a confident structure model. Next, we predicted the structure of glsA2 homo-dimer as a symmetric complex shown in Fig. . A unique feature of eFindSitePPI is that it not only […]


Calculating an optimal box size for ligand docking and virtual screening against experimental and predicted binding pockets

J Cheminform
PMCID: 4468813
PMID: 26082804
DOI: 10.1186/s13321-015-0067-5

[…] s (GPCRs) and protein kinases. Furthermore, we selected those proteins for which at least three weakly homologous and structurally related ligand-bound templates were detected by meta-threading using eThread []. We note that weak homology is defined by the maximum sequence identity of 40 %, and the structural similarity of ≥0.4 TM-score [] as reported by Fr-TM-align []. Furthermore, only non-coval […]


Developing eThread Pipeline Using SAGA Pilot Abstraction for Large Scale Structural Bioinformatics

Biomed Res Int
PMCID: 4066679
PMID: 24995285
DOI: 10.1155/2014/348725

[…] Presumably, the key question on how to implement an efficient execution of the eThread pipeline on EC2 infrastructure is directly related to the question on how to distribute subtasks on a heterogeneous resource pool.To demonstrate the agile capacity of our pipeline, we conducte […]


Unleashing the power of meta threading for evolution/structure based function inference of proteins

Front Genet
PMCID: 3686302
PMID: 23802014
DOI: 10.3389/fgene.2013.00118
call_split See protocol

[…] To identify functional templates, we use eThread (), which integrates ten state-of-the-art protein threading/fold recognition algorithms: CSI-BLAST (), COMPASS (), HHpred (), HMMER (), pfTools (), pGenThreader (), SAM-T2K (), SP3 (), SPARKS2 […]


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eThread institution(s)
Center for Computation & Technology, Louisiana State University, Baton Rouge, LA, USA

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