Literature DB >> 11724731

Thermodynamic database for protein-nucleic acid interactions (ProNIT).

P Prabakaran1, J An, M M Gromiha, S Selvaraj, H Uedaira, H Kono, A Sarai.   

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.

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Year:  2001        PMID: 11724731     DOI: 10.1093/bioinformatics/17.11.1027

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  16 in total

Review 1.  DNA-protein interactions: methods for detection and analysis.

Authors:  Bipasha Dey; Sameer Thukral; Shruti Krishnan; Mainak Chakrobarty; Sahil Gupta; Chanchal Manghani; Vibha Rani
Journal:  Mol Cell Biochem       Date:  2012-03-08       Impact factor: 3.396

2.  Real value prediction of protein folding rate change upon point mutation.

Authors:  Liang-Tsung Huang; M Michael Gromiha
Journal:  J Comput Aided Mol Des       Date:  2012-03-18       Impact factor: 3.686

Review 3.  DNA-protein interaction: identification, prediction and data analysis.

Authors:  Abbasali Emamjomeh; Darush Choobineh; Behzad Hajieghrari; Nafiseh MahdiNezhad; Amir Khodavirdipour
Journal:  Mol Biol Rep       Date:  2019-03-26       Impact factor: 2.316

4.  Orientation preferences of backbone secondary amide functional groups in peptide nucleic acid complexes: quantum chemical calculations reveal an intrinsic preference of cationic D-amino acid-based chiral PNA analogues for the P-form.

Authors:  Christopher M Topham; Jeremy C Smith
Journal:  Biophys J       Date:  2006-10-27       Impact factor: 4.033

5.  The Protein-DNA Interface database.

Authors:  Tomás Norambuena; Francisco Melo
Journal:  BMC Bioinformatics       Date:  2010-05-18       Impact factor: 3.169

Review 6.  Towards precision medicine: advances in computational approaches for the analysis of human variants.

Authors:  Thomas A Peterson; Emily Doughty; Maricel G Kann
Journal:  J Mol Biol       Date:  2013-08-17       Impact factor: 5.469

Review 7.  Cataloging the relationships between proteins: a review of interaction databases.

Authors:  Carol Rohl; Yancey Price; Tiffany B Fischer; Melissa Paczkowski; Michael F Zettel; Jerry Tsai
Journal:  Mol Biotechnol       Date:  2006-09       Impact factor: 2.860

8.  ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions.

Authors:  M D Shaji Kumar; K Abdulla Bava; M Michael Gromiha; Ponraj Prabakaran; Koji Kitajima; Hatsuho Uedaira; Akinori Sarai
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

9.  Quantitative evaluation of protein-DNA interactions using an optimized knowledge-based potential.

Authors:  Zhijie Liu; Fenglou Mao; Jun-tao Guo; Bo Yan; Peng Wang; Youxing Qu; Ying Xu
Journal:  Nucleic Acids Res       Date:  2005-01-26       Impact factor: 16.971

10.  DbPTM 3.0: an informative resource for investigating substrate site specificity and functional association of protein post-translational modifications.

Authors:  Cheng-Tsung Lu; Kai-Yao Huang; Min-Gang Su; Tzong-Yi Lee; Neil Arvin Bretaña; Wen-Chi Chang; Yi-Ju Chen; Yu-Ju Chen; Hsien-Da Huang
Journal:  Nucleic Acids Res       Date:  2012-11-27       Impact factor: 16.971

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