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Samuel Selvaraj

dblp:64/974 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 4

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological database
protein-nucleic acid interaction database
0.012001
Thermodynamic database for protein-nucleic acid interactions (ProNIT) · Bioinform. 2001

Methods — techniques the papers use, named apart from their topics

web interface · 0.1relational database · 0.1
YearPublicationVenuePosition
2010 Sequence and structural features of binding site residues in protein-protein complexes
abstract
We have developed an energy based approach for identifying the binding site residues in protein-protein complexes. The binding site residues have been analyzed with sequence and structure based parameters such as neighboring residues in the vicinity of binding sites and conformational switching. We observed specific preferences of dipeptides and tripeptides for binding, which is unique to protein-protein complexes. Our analysis showed that 7% of residues changed their conformations upon protein-protein complex formation and it is 9.2% and 6.6% in the binding and non-binding sites, respectively. Specifically, the residues Glu, Lys, Leu and Ser changed their conformation from coil to helix/strand and from helix to coil/strand. Leu, Ser, Thr and Val prefer to change their conformation from strand to coil/helix. The results obtained in this study will be helpful for understanding and predicting the binding sites in protein-protein complexes.
M. Michael Gromiha, Samuel Selvaraj, B. Jayaram 0001, Kazuhiko Fukui
BIBM3
2010 Identification and Analysis of Binding Site Residues in Protein Complexes: Energy Based Approach
M. Michael Gromiha, Samuel Selvaraj, B. Jayaram 0001, Kazuhiko Fukui
ICIC (1)2
2004 Structure-Function Relationship in DNA Sequence Recognition by Transcription Factors
Akinori Sarai, Samuel Selvaraj, M. Michael Gromiha, Hidetoshi Kono
APBC2
2001 Thermodynamic database for protein-nucleic acid interactions (ProNIT)
abstract
MOTIVATION: Protein-nucleic acid interactions are fundamental to the regulation of gene expression. In order to elucidate the molecular mechanism of protein-nucleic acid recognition and analyze the gene regulation network, not only structural data but also quantitative binding data are necessary. Although there are structural databases for proteins and nucleic acids, there exists no database for their experimental binding data. Thus, we have developed a Thermodynamic Database for Protein-Nucleic Acid Interactions (ProNIT). RESULTS: We have collected experimentally observed binding data from the literature. ProNIT contains several important thermodynamic data for protein-nucleic acid binding, such as dissociation constant (K(d)), association constant (K(a)), Gibbs free energy change (DeltaG), enthalpy change (DeltaH), heat capacity change (DeltaC(p)), experimental conditions, structural information of proteins, nucleic acids and the complex, and literature information. These data are integrated into a relational database system together with structural and functional information to provide flexible searching facilities by using combinations of various terms and parameters. A www interface allows users to search for data based on various conditions, with different display and sorting options, and to visualize molecular structures and their interactions. AVAILABILITY: ProNIT is freely accessible at the URL http://www.rtc.riken.go.jp/jouhou/pronit/pronit.html.
Ponraj Prabakaran, Jianghong An, M. Michael Gromiha, Samuel Selvaraj, Hatsuho Uedaira, Hidetoshi Kono, Akinori Sarai
Bioinform.4