SrasV1, PubMed, Checkpoint, bibRecord, 002507

SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.

Identifieur interne : 002507 ( PubMed/Checkpoint ); précédent : 002506; suivant : 002508

SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.

Auteurs : Gaurav Sachdeva [Inde] ; Kaushal Kumar ; Preti Jain ; Srinivasan Ramachandran

Source :

Bioinformatics (Oxford, England) [ 1367-4803 ] ; 2005.

RBID : pubmed:15374866

Descripteurs français

English descriptors

KwdEn :
- Adhesins, Bacterial (chemistry), Adhesins, Bacterial (metabolism), Algorithms, Animals, Humans, Models, Biological, Models, Chemical, Models, Statistical, Neural Networks, Computer, Protein Isoforms (chemistry), Protein Isoforms (metabolism), Sequence Alignment (methods), Sequence Analysis, Protein (methods), Sequence Homology, Amino Acid, Software, Structure-Activity Relationship.
MESH :
- chemical , chemistry : Adhesins, Bacterial, Protein Isoforms.
- chemical , metabolism : Adhesins, Bacterial, Protein Isoforms.
- methods : Sequence Alignment, Sequence Analysis, Protein.
- Algorithms, Animals, Humans, Models, Biological, Models, Chemical, Models, Statistical, Neural Networks, Computer, Sequence Homology, Amino Acid, Software, Structure-Activity Relationship.

Abstract

The adhesion of microbial pathogens to host cells is mediated by adhesins. Experimental methods used for characterizing adhesins are time-consuming and demand large resources. The availability of specialized software can rapidly aid experimenters in simplifying this problem. We have employed 105 compositional properties and artificial neural networks to develop SPAAN, which predicts the probability of a protein being an adhesin (Pad).

DOI: 10.1093/bioinformatics/bti028
PubMed: 15374866

Affiliations:

Inde

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pubmed:15374866

Le document en format XML

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<term>Algorithms</term>
<term>Animals</term>
<term>Humans</term>
<term>Models, Biological</term>
<term>Models, Chemical</term>
<term>Models, Statistical</term>
<term>Neural Networks, Computer</term>
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<term>Protein Isoforms (metabolism)</term>
<term>Sequence Alignment (methods)</term>
<term>Sequence Analysis, Protein (methods)</term>
<term>Sequence Homology, Amino Acid</term>
<term>Software</term>
<term>Structure-Activity Relationship</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adhésines bactériennes ()</term>
<term>Adhésines bactériennes (métabolisme)</term>
<term>Algorithmes</term>
<term>Alignement de séquences ()</term>
<term>Analyse de séquence de protéine ()</term>
<term>Animaux</term>
<term>Humains</term>
<term>Isoformes de protéines ()</term>
<term>Isoformes de protéines (métabolisme)</term>
<term>Logiciel</term>
<term>Modèles biologiques</term>
<term>Modèles chimiques</term>
<term>Modèles statistiques</term>
<term>Relation structure-activité</term>
<term>Similitude de séquences d'acides aminés</term>
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<keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Adhesins, Bacterial</term>
<term>Protein Isoforms</term>
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<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Adhesins, Bacterial</term>
<term>Protein Isoforms</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Sequence Alignment</term>
<term>Sequence Analysis, Protein</term>
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<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Adhésines bactériennes</term>
<term>Isoformes de protéines</term>
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<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Animals</term>
<term>Humans</term>
<term>Models, Biological</term>
<term>Models, Chemical</term>
<term>Models, Statistical</term>
<term>Neural Networks, Computer</term>
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<term>Structure-Activity Relationship</term>
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<term>Algorithmes</term>
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<term>Isoformes de protéines</term>
<term>Logiciel</term>
<term>Modèles biologiques</term>
<term>Modèles chimiques</term>
<term>Modèles statistiques</term>
<term>Relation structure-activité</term>
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<front><div type="abstract" xml:lang="en">The adhesion of microbial pathogens to host cells is mediated by adhesins. Experimental methods used for characterizing adhesins are time-consuming and demand large resources. The availability of specialized software can rapidly aid experimenters in simplifying this problem. We have employed 105 compositional properties and artificial neural networks to develop SPAAN, which predicts the probability of a protein being an adhesin (Pad).</div>
</front>
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<DateCompleted><Year>2005</Year>
<Month>06</Month>
<Day>24</Day>
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<DateRevised><Year>2020</Year>
<Month>04</Month>
<Day>03</Day>
</DateRevised>
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<JournalIssue CitedMedium="Print"><Volume>21</Volume>
<Issue>4</Issue>
<PubDate><Year>2005</Year>
<Month>Feb</Month>
<Day>15</Day>
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<Title>Bioinformatics (Oxford, England)</Title>
<ISOAbbreviation>Bioinformatics</ISOAbbreviation>
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<ArticleTitle>SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.</ArticleTitle>
<Pagination><MedlinePgn>483-91</MedlinePgn>
</Pagination>
<Abstract><AbstractText Label="MOTIVATION" NlmCategory="BACKGROUND">The adhesion of microbial pathogens to host cells is mediated by adhesins. Experimental methods used for characterizing adhesins are time-consuming and demand large resources. The availability of specialized software can rapidly aid experimenters in simplifying this problem. We have employed 105 compositional properties and artificial neural networks to develop SPAAN, which predicts the probability of a protein being an adhesin (Pad).</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">SPAAN had optimal sensitivity of 89% and specificity of 100% on a defined test set and could identify 97.4% of known adhesins at high Pad value from a wide range of bacteria. Furthermore, SPAAN facilitated improved annotation of several proteins as adhesins. Novel adhesins were identified in 17 pathogenic organisms causing diseases in humans and plants. In the severe acute respiratory syndrome (SARS) associated human corona virus, the spike glycoprotein and nsps (nsp2, nsp5, nsp6 and nsp7) were identified as having adhesin-like characteristics. These results offer new lead for rapid experimental testing.</AbstractText>
<AbstractText Label="AVAILABILITY" NlmCategory="BACKGROUND">SPAAN is freely available through ftp://203.195.151.45</AbstractText>
<AbstractText Label="CONTACT" NlmCategory="BACKGROUND">ramu@igib.res.in.</AbstractText>
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Serveur d'exploration SRAS

SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.

SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks.

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