Thymopoietins and long postsynaptic neurotoxins share common information in their primary structures

Skerl, Vesna; Pavlović, Mirjana

doi:10.1016/0014-5793(88)80561-1

Cited by 10 publications

(3 citation statements)

References 17 publications

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“…Once the characteristic frequency for a particular protein function/interaction is identified, it is possible to utilize the ISM approach to predict the amino acids in the sequence, which essentially contribute to this frequency and are likely to be crucial for the observed function. Thus far, the ISM was successfully applied in structure‐function analysis of different protein sequences and assessment of biological effects of mutations and SNPs 14–21…”

Section: Methodsmentioning

confidence: 99%

Lipoprotein lipase: A bioinformatics criterion for assessment of mutations as a risk factor for cardiovascular disease

Glišić¹,

Arrigo

Alavantić

et al. 2008

Proteins

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Lipoprotein lipase (LPL) is a key enzyme in lipid metabolism. Decrease of the LPL enzymatic activity leads to elevated triglycerides (TG) and reduced high-density lipoprotein (HDL-C levels), both risk factors for cardiovascular disease (CVD). Therefore, mutations, which decrease the LPL activity, may confer susceptibility to CVD. Here, the informational spectrum method (ISM), a virtual spectroscopy method for structure/function analysis of nucleotide and protein sequences, is applied for identification of evolutionary highly conserved information encoded by the primary structure of LPL. It was demonstrated that mutations, which alter the LPL enzymatic activity also alter this information. On the basis of this finding, an efficient and simple bioinformatics criterion for assessment of the pathogenic effect of LPL nonsynonymous single nucleotide substitution as a risk factor of CVD has been proposed.

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Section: Methodsmentioning

confidence: 99%

Lipoprotein lipase: A bioinformatics criterion for assessment of mutations as a risk factor for cardiovascular disease

Glišić¹,

Arrigo

Alavantić

et al. 2008

Proteins

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“…The ISM has been successfully applied in structure-function analyses of different protein sequences, as well as in de novo design of biologically active peptides (23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36).…”

Section: Bioinformatic Analysis Of Peptidesmentioning

confidence: 99%

Design of peptide mimetics of HIV‐1 gp120 for prevention and therapy of HIV disease

Veljković¹,

Branch²,

Metlaš³

et al. 2003

The Journal of Peptide Research

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It has been reported that the C-terminus of the second conserved region (C2) of the envelope glycoprotein gp120, encompassing peptide RSANFTDNAKTIIVQLNESVEIN (NTM), is important for infectivity and neutralization of the human immunodeficiency virus type 1 (HIV-1). It was also demonstrated that human natural anti-vasoactive intestinal peptide (VIP) antibodies reactive with this gp120 region play an important role in control of HIV disease progression. The bioinformatic analysis based on the time-frequency signal processing revealed non-obvious similarities between NTM and VIP. When tested against a battery of sera from 46 AIDS patients, these peptides, in spite of a significant difference in their primary structures, showed a similar reactivity profiles (r = 0.83). Presented results point out that similarity in the periodical pattern of some physicochemical properties in primary structures of peptides plays a significant role in determination of their immunological crossreactivity. Based on these findings, we propose this bioinformatic criterion be used for design of VIP/NTM peptide mimetics for prevention and treatment of HIV disease.

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“…It has been shown in number of examples that mutants that have lost their primary function also has diminished amplitude that correlate with characteristic frequency [22][23][24][25]. The values of A(0.2793) for datasets of missense mutations were determined in order to predict those mutations which will seriously affect the rate of TP53 degradation by Mdm2.…”

Section: Effect Of Mutation On Amplitude Values Of Human Tp53 Spectrumentioning

confidence: 99%

In Silico Criterion for Prediction of Effects of p53 Gene Missense Mutations on p53-Mdm2 Feedback Loop

Veljković

Perovic²

2006

PPL

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The Informational Spectrum Method (ISM) is the tool for the in silico analysis of proteins which interprets protein sequence linear information using signal analyses methods. In this paper the ISM was employed to characterize the products of genetic variants of tumor suppressor gene p53 and its natural binding regulator protein Mdm2. Based on this we propose the criterion for identification of missense mutations that have impact on the p53-Mdm2 feedback loop. The efficiency of the proposed criterion was confirmed by the ISM analyses of p53 mutants reported in: (i) healthy individuals, (ii) germline mutations database and (iii) somatic mutations database.

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Thymopoietins and long postsynaptic neurotoxins share common information in their primary structures

Cited by 10 publications

References 17 publications

Lipoprotein lipase: A bioinformatics criterion for assessment of mutations as a risk factor for cardiovascular disease

Lipoprotein lipase: A bioinformatics criterion for assessment of mutations as a risk factor for cardiovascular disease

Design of peptide mimetics of HIV‐1 gp120 for prevention and therapy of HIV disease

In Silico Criterion for Prediction of Effects of p53 Gene Missense Mutations on p53-Mdm2 Feedback Loop

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