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SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins
The function of a protein molecule is greatly influenced by its three-dimensional (3D) structure and therefore structure prediction will help identify its biological function. We have updated Sequence, Motif and Structure (SMS), the database of structurally rigid peptide fragments, by combining amin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054494/ https://www.ncbi.nlm.nih.gov/pubmed/22449400 http://dx.doi.org/10.1016/S1672-0229(11)60032-6 |
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author | Ravella, Dheeraj Kumar, Muthukumarasamy Uthaya Sherlin, Durairaj Shankar, Mani Vaishnavi, Marthandan Kirti Sekar, Kanagaraj |
author_facet | Ravella, Dheeraj Kumar, Muthukumarasamy Uthaya Sherlin, Durairaj Shankar, Mani Vaishnavi, Marthandan Kirti Sekar, Kanagaraj |
author_sort | Ravella, Dheeraj |
collection | PubMed |
description | The function of a protein molecule is greatly influenced by its three-dimensional (3D) structure and therefore structure prediction will help identify its biological function. We have updated Sequence, Motif and Structure (SMS), the database of structurally rigid peptide fragments, by combining amino acid sequences and the corresponding 3D atomic coordinates of non-redundant (25%) and redundant (90%) protein chains available in the Protein Data Bank (PDB). SMS 2.0 provides information pertaining to the peptide fragments of length 5-14 residues. The entire dataset is divided into three categories, namely, same sequence motifs having similar, intermediate or dissimilar 3D structures. Further, options are provided to facilitate structural superposition using the program structural alignment of multiple proteins (STAMP) and the popular JAVA plug-in (Jmol) is deployed for visualization. In addition, functionalities are provided to search for the occurrences of the sequence motifs in other structural and sequence databases like PDB, Genome Database (GDB), Protein Information Resource (PIR) and Swiss-Prot. The updated database along with the search engine is available over the World Wide Web through the following URL http://cluster.physics.iisc.ernet.in/sms/. |
format | Online Article Text |
id | pubmed-5054494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50544942016-10-14 SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins Ravella, Dheeraj Kumar, Muthukumarasamy Uthaya Sherlin, Durairaj Shankar, Mani Vaishnavi, Marthandan Kirti Sekar, Kanagaraj Genomics Proteomics Bioinformatics Method The function of a protein molecule is greatly influenced by its three-dimensional (3D) structure and therefore structure prediction will help identify its biological function. We have updated Sequence, Motif and Structure (SMS), the database of structurally rigid peptide fragments, by combining amino acid sequences and the corresponding 3D atomic coordinates of non-redundant (25%) and redundant (90%) protein chains available in the Protein Data Bank (PDB). SMS 2.0 provides information pertaining to the peptide fragments of length 5-14 residues. The entire dataset is divided into three categories, namely, same sequence motifs having similar, intermediate or dissimilar 3D structures. Further, options are provided to facilitate structural superposition using the program structural alignment of multiple proteins (STAMP) and the popular JAVA plug-in (Jmol) is deployed for visualization. In addition, functionalities are provided to search for the occurrences of the sequence motifs in other structural and sequence databases like PDB, Genome Database (GDB), Protein Information Resource (PIR) and Swiss-Prot. The updated database along with the search engine is available over the World Wide Web through the following URL http://cluster.physics.iisc.ernet.in/sms/. Elsevier 2012-02 2012-03-23 /pmc/articles/PMC5054494/ /pubmed/22449400 http://dx.doi.org/10.1016/S1672-0229(11)60032-6 Text en © 2012 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). |
spellingShingle | Method Ravella, Dheeraj Kumar, Muthukumarasamy Uthaya Sherlin, Durairaj Shankar, Mani Vaishnavi, Marthandan Kirti Sekar, Kanagaraj SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins |
title | SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins |
title_full | SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins |
title_fullStr | SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins |
title_full_unstemmed | SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins |
title_short | SMS 2.0: An Updated Database to Study the Structural Plasticity of Short Peptide Fragments in Non-redundant Proteins |
title_sort | sms 2.0: an updated database to study the structural plasticity of short peptide fragments in non-redundant proteins |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054494/ https://www.ncbi.nlm.nih.gov/pubmed/22449400 http://dx.doi.org/10.1016/S1672-0229(11)60032-6 |
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