Literature DB >> 27160989

Prediction of the impact of coding missense and nonsense single nucleotide polymorphisms on HD5 and HBD1 antibacterial activity against Escherichia coli.

William F Porto1,2, Diego O Nolasco1,3, Állan S Pires1,2, Rinaldo W Pereira1, Octávio L Franco4,5,6, Sérgio A Alencar1.   

Abstract

Defensins confer host defense against microorganisms and are important for human health. Single nucleotide polymorphisms (SNPs) in defensin gene-coding regions could lead to less active variants. Using SNP data available at the dbSNP database and frequency information from the 1000 Genomes Project, two DEFA5 (L26I and R13H) and eight DEFB1 (C35S, K31T, K33R, R29G, V06I, C12Y, Y28* and C05*) missense and nonsense SNPs that are located within mature regions of the coded defensins were retrieved. Such SNPs are rare and population restricted. In order to assess their antibacterial activity against Escherichia coli, two linear regression models were used from a previous work, which models the antibacterial activity as a function of solvation potential energy, using molecular dynamics data. Regarding only the antibacterial predictions, for HD5, no biological differences between wild-type and its variants were observed; while for HBD1, the results suggest that the R29G, K31T, Y28* and C05* variants could be less active than the wild-type one. The data here reported could lead to a substantial improvement in knowledge about the impact of missense SNPs in human defensins and their world distribution.
© 2016 Wiley Periodicals, Inc. Biopolymers (Pept Sci) 106: 633-644, 2016. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  1000 genomes project; DEFA5; DEFB1; molecular dynamics; protein solvation potential energy

Mesh:

Substances:

Year:  2016        PMID: 27160989     DOI: 10.1002/bip.22866

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  6 in total

1.  Mutations in fetal genes involved in innate immunity and host defense against microbes increase risk of preterm premature rupture of membranes (PPROM).

Authors:  Bhavi P Modi; Maria E Teves; Laurel N Pearson; Hardik I Parikh; Hannah Haymond-Thornburg; John L Tucker; Piya Chaemsaithong; Nardhy Gomez-Lopez; Timothy P York; Roberto Romero; Jerome F Strauss
Journal:  Mol Genet Genomic Med       Date:  2017-08-23       Impact factor: 2.183

2.  In silico analyses of deleterious missense SNPs of human apolipoprotein E3.

Authors:  Allan S Pires; William F Porto; Octavio L Franco; Sérgio A Alencar
Journal:  Sci Rep       Date:  2017-05-30       Impact factor: 4.379

3.  Designing Antibacterial Peptides with Enhanced Killing Kinetics.

Authors:  Faiza H Waghu; Shaini Joseph; Sanket Ghawali; Elvis A Martis; Taruna Madan; Kareenhalli V Venkatesh; Susan Idicula-Thomas
Journal:  Front Microbiol       Date:  2018-02-23       Impact factor: 5.640

4.  A comprehensive in silico investigation into the nsSNPs of Drd2 gene predicts significant functional consequences in dopamine signaling and pharmacotherapy.

Authors:  Samia Sultana Lira; Ishtiaque Ahammad
Journal:  Sci Rep       Date:  2021-12-01       Impact factor: 4.379

5.  Discovery of rare ancestry-specific variants in the fetal genome that confer risk of preterm premature rupture of membranes (PPROM) and preterm birth.

Authors:  Bhavi P Modi; Hardik I Parikh; Maria E Teves; Rewa Kulkarni; Jiang Liyu; Roberto Romero; Timothy P York; Jerome F Strauss
Journal:  BMC Med Genet       Date:  2018-10-05       Impact factor: 2.103

6.  Diminished Systemic and Mycobacterial Antigen Specific Anti-microbial Peptide Responses in Low Body Mass Index-Latent Tuberculosis Co-morbidity.

Authors:  Anuradha Rajamanickam; Saravanan Munisankar; Chandra Kumar Dolla; Subash Babu
Journal:  Front Cell Infect Microbiol       Date:  2020-04-28       Impact factor: 5.293

  6 in total

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