Literature DB >> 16426042

A physicochemical model for analyzing DNA sequences.

Samrat Dutta1, Poonam Singhal, Praveen Agrawal, Raju Tomer, Kritee Kritee, Ekta Khurana, B Jayaram.   

Abstract

In search of an ab initio model to characterize DNA sequences as genes and nongenes, we examined some physicochemical properties of each trinucleotide (codon), which could accomplish this task. We constructed three-dimensional vectors for each double-helical trinucleotide sequence considering hydrogen-bonding energy, stacking energy, and a third parameter, which we provisionally identified with DNA-protein interactions. As this three-dimensional vector moves along any genome, the net orientation of the resultant vector should differ significantly for gene and nongene regions to make a distinction feasible, if the underlying model has some merits. An analysis of 331 prokaryotic genomes comprising a total of 294 786 experimentally verified genes (nonoverlapping) and an equal number of nongenes presents a proof of concept of the model without the need for further parametrization. Also, initial analyses on Saccharomyces cerevisiae and Arabidopsis thaliana suggest that the methodology is extendable to eukaryotes. The physicochemical model (ChemGenome1.0) introduced has the potential to be developed into a gene-finding algorithm and, more pressingly, could be employed for an independent assessment of the annotation of DNA sequences.

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Year:  2006        PMID: 16426042     DOI: 10.1021/ci050119x

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  9 in total

1.  DNA-energetics-based analyses suggest additional genes in prokaryotes.

Authors:  Garima Khandelwal; Jalaj Gupta; B Jayaram
Journal:  J Biosci       Date:  2012-07       Impact factor: 1.826

2.  Nucleic acids in disease and disorder: Understanding the language of life emerging from the 'ABC' of DNA.

Authors:  Manju Bansal; B Jayaram; Aditya Mittal
Journal:  J Biosci       Date:  2012-07       Impact factor: 1.826

3.  Toward a Universal Structural and Energetic Model for Prokaryotic Promoters.

Authors:  Akhilesh Mishra; Priyanka Siwach; Pallavi Misra; Bhyravabhotla Jayaram; Manju Bansal; Wilma K Olson; Kelly M Thayer; David L Beveridge
Journal:  Biophys J       Date:  2018-08-08       Impact factor: 4.033

4.  A statistical thermodynamic model for investigating the stability of DNA sequences from oligonucleotides to genomes.

Authors:  Garima Khandelwal; Rebecca A Lee; B Jayaram; David L Beveridge
Journal:  Biophys J       Date:  2014-06-03       Impact factor: 4.033

5.  A phenomenological model for predicting melting temperatures of DNA sequences.

Authors:  Garima Khandelwal; Jayaram Bhyravabhotla
Journal:  PLoS One       Date:  2010-08-26       Impact factor: 3.240

6.  Physico-chemical fingerprinting of RNA genes.

Authors:  Ankita Singh; Akhilesh Mishra; Ali Khosravi; Garima Khandelwal; B Jayaram
Journal:  Nucleic Acids Res       Date:  2017-04-20       Impact factor: 16.971

7.  Prokaryotic gene finding based on physicochemical characteristics of codons calculated from molecular dynamics simulations.

Authors:  Poonam Singhal; B Jayaram; Surjit B Dixit; David L Beveridge
Journal:  Biophys J       Date:  2008-03-07       Impact factor: 4.033

8.  Proceedings of the Indo-U.S. bilateral workshop on accelerating botanicals/biologics agent development research for cancer chemoprevention, treatment, and survival.

Authors:  Nagi B Kumar; Medha Dhurandhar; Bharat Aggarwal; Shrikant Anant; Kenyon Daniel; Gary Deng; Julie Djeu; Jinhui Dou; Ernest Hawk; B Jayaram; Libin Jia; Rajendra Joshi; Madhuri Kararala; Devarajan Karunagaran; Omer Kucuk; Lalit Kumar; Mokenge Malafa; G J Samathanam; Fazlul Sarkar; Maqsood Siddiqi; Rana P Singh; Anil Srivastava; Jeffrey D White
Journal:  Cancer Med       Date:  2013-02       Impact factor: 4.452

Review 9.  Genomes to hits in silico - a country path today, a highway tomorrow: a case study of chikungunya.

Authors:  Anjali Soni; Khushhali M Pandey; Pratima Ray; B Jayaram
Journal:  Curr Pharm Des       Date:  2013       Impact factor: 3.116

  9 in total

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