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BETApro specifications

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Unique identifier OMICS_13942
Name BETApro
Interface Web user interface
Restrictions to use Academic or non-commercial use
Input data A protein sequence
Computer skills Basic
Stability Stable
Maintained Yes

Information


Unique identifier OMICS_13942
Name BETApro
Software type Package/Module
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux
Computer skills Advanced
Version 1.0
Stability Stable
Requirements
Sspro
Source code URL http://betapro.proteomics.ics.uci.edu/beta_install.txt
Maintained Yes

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BETApro citations

 (6)
library_books

Expression and Regulation of Nampt in Human Islets

2013
PMCID: 3594147
PMID: 23536823
DOI: 10.1371/journal.pone.0058767

[…] the aim of this study is to characterize islet specific nampt expression, secretion and regulation by glucose in human islets., isolated islets were obtained from axon cells formally known as betapro llc (gordonsville, va). pancreas procurement for islet isolation was approved by university of virginia institutional review board for health sciences research committee. pancreatic tissue […]

library_books

Small human islets comprised of more β cells with higher insulin content than large islets

2013
PMCID: 4204020
PMID: 23648896
DOI: 10.4161/isl.24780

[…] islet distribution program, the midwest organ transplant network, the university of kansas tissue repository, the national institute of child health and human development brain and tissue bank and betapro. isolated islets were obtained from 23 donors and pancreatic sections obtained from 6 donors. fifty-nine percent of the donors were female, and the donors had an average age of 42.6 ± 2.78 y. […]

library_books

Statistical Analysis of Terminal Extensions of Protein β Strand Pairs

2013
PMCID: 3569888
PMID: 23424587
DOI: 10.1155/2013/909436

[…] role to determine the parallel or antiparallel orientation of β-strands [], and the statistical results could possibly be used to predict the β-strand orientation []. cheng and baldi [] introduced betapro method to predict and assemble β-strands into a β-sheet, in which a single misprediction of one amino acid pairing from the first stage could be amplified by the next stages and results […]

library_books

KU 32, a Novel Drug for Diabetic Neuropathy, Is Safe for Human Islets and Improves In Vitro Insulin Secretion and Viability

2012
PMCID: 3503326
PMID: 23197975
DOI: 10.1155/2012/671673

[…] used to manage diabetic complications should, at the least, have a neutral if not beneficial effect on islets., human tissues were obtained from the integrated islet distribution program (iidp) and betapro (gordonsville, va). the samples of isolated islets were from 13 adult donors, whose characteristics are described in . none of the donors were diagnosed with diabetes or metabolic syndrome. […]

library_books

β sheet Topology Prediction with High Precision and Recall for β and Mixed α/β Proteins

2012
PMCID: 3302896
PMID: 22427840
DOI: 10.1371/journal.pone.0032461

[…] these pairwise potentials were used to derive a weighted contact potential between -strands, and to derive a rank-ordered list of predicted -sheet topologies. cheng and baldi presented an algorithm betapro, which predicts the arrangement of -strands in a three stage approach. 2d recursive neural networks were trained to predict the contact potential between amino acid pairs. these pseudo […]

library_books

Prediction of protein long range contacts using an ensemble of genetic algorithm classifiers with sequence profile centers

2010
PMCID: 2873825
PMID: 20487509
DOI: 10.1186/1472-6807-10-S1-S2

[…] evaluation server []. we use the similar procedure and the same test proteins to evaluate the accuracy and coverage for our gacs ensemble., contact map predictors participating in casp7 include betapro [], distill [], gpcpred [], profcon [], possum [], sam_t06_server [], svmcon [] and so on. table reports the performance of the seven automated contact map predictors in the casp7 […]


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BETApro institution(s)
Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California, Irvine, CA, USA
BETApro funding source(s)
Work supported in part by NIH Biomedical Informatics Training grant (LM-07443-01) and NSF MRI grant (EIA-0321390).

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