scholarly journals Bioinformatic Analysis of Insertion, Deletion, and Substitution Mutations in the Human <i>β</i>-Globin Gene

2021 ◽  
Vol 11 (01) ◽  
pp. 1-17
Author(s):  
Edgar Miguel Bustamante Cárdenas
Keyword(s):  
Globin Gene ◽  
Bioinformatic Analysis ◽  
Substitution Mutations

Bioinformatic Analysis on Jellyfish Hematoxin

2009 ◽  
Vol 7 (2) ◽  
pp. 145-149 ◽  
Author(s):  
Chun-Lei OUYANG ◽  
Jia-Dong GAO ◽  
Yu-Kun REN ◽  
Liang XIAO ◽  
Qian-Qian WANG ◽  
...  
Keyword(s):  
Bioinformatic Analysis

New Nucleotide Polymorphisms in the BTC1 gene of Sugar Beet

2020 ◽  
Vol 36 (6) ◽  
pp. 49-54
Author(s):  
A.A. Nalbandyan ◽  
T.P. Fedulova ◽  
I.V. Cherepukhina ◽  
T.I. Kryukova ◽  
N.R. Mikheeva ◽  
...  
Keyword(s):  
Sugar Beet ◽  
Flowering Time ◽  
Molecular Genetic ◽  
Bioinformatic Analysis ◽  
Early Flowering ◽  
Nucleotide Polymorphisms ◽  
Nucleotide Substitutions ◽  
Time Control ◽  
Flowering Time Control ◽  
Exon 10

The flowering time control gene of various sugar beet plants has been studied. The BTC1 gene is a regulator for the suppressor (flowering time 1) and inducer (flowering time 2) genes of this physiological process. The F9/R9 primer pair was used for polymerase chain reaction; these primers are specific to the BTC1 gene region containing exon 9, as well as intron and exon 10. For the first time, nucleotide substitutions in exon 10 of BTC1 gene were identified in bolting sensitive samples (HF1 and BF1), which led to a change in the amino acid composition of the coded polypeptide chain. Based on the results of bioinformatic analysis, it can be assumed that certain nucleotide polymorphisms in the BTC1 gene may determine with a high probability the predisposition of sugar beet genotypes to early flowering. The use of the Geneious Prime tool for the analysis of the BTC1 gene sequences may allow the culling of genotypes prone to early flowering at early stages of selection. sugar beet, flowering gene, BTC1, genetic polymorphism, PCR, molecular genetic markers, selection

Proteomic and Bioinformatic Analysis of Trypanosoma cruzi Chemotherapy and Potential Drug Targets: New Pieces for an Old Puzzle

2014 ◽  
Vol 15 (3) ◽  
pp. 255-271 ◽  
Author(s):  
Rubem Sadok Menna-Barreto ◽  
Kele Belloze ◽  
Jonas Perales ◽  
Floriano Silva-Jr
Keyword(s):  
Trypanosoma Cruzi ◽  
Drug Targets ◽  
Bioinformatic Analysis ◽  
Potential Drug ◽  
Potential Drug Targets

Aggregation prone regions in antibody sequences raised against Vibrio cholerae: A bioinformatic approach

2020 ◽  
Vol 15 ◽  
Author(s):  
Zakia Akter ◽  
Anamul Haque ◽  
Md. Sabir Hossain ◽  
Firoz Ahmed ◽  
Md Asiful Islam
Keyword(s):  
Vibrio Cholerae ◽  
Binding Sites ◽  
Bioinformatic Analysis ◽  
Antigen Binding ◽  
Short Term ◽  
Protein Database ◽  
The Stability ◽  
Bioinformatic Approach ◽  
Self Aggregation ◽  
Complementarity Determining Region

Background: Cholera, a diarrheal illness causes millions of deaths worldwide due to large outbreaks. Monoclonal antibody used as therapeutic purposes of cholera are prone to be unstable due to various factors including self-aggregation. Objectives: In this bioinformatic analysis, we identified the aggregation prone regions (APRs) of different immunogens of antibody sequences (i.e., CTB, ZnM-CTB, ZnP-CTB, TcpA-CT-CTB, ZnM-TcpA-CT-CTB, ZnP-TcpA-CT-CTB, ZnM-TcpA, ZnP-TcpA, TcpA-CT-TcpA, ZnM-TcpA-CT-TcpA, ZnP-TcpA-CT-TcpA, Ogawa, Inaba and ZnM-Inaba) raised against Vibrio cholerae. Methods: To determine APRs in antibody sequences that were generated after immunizing Vibrio cholerae immunogens on Mus musculus, a total of 94 sequences were downloaded as FASTA format from a protein database and the algorithms such as Tango, Waltz, PASTA 2.0, and AGGRESCAN were followed to analyze probable APRs in all of the sequences. Results: A remarkably high number of regions in the monoclonal antibodies were identified to be APRs which could explain a cause of instability/short term protection of anticholera vaccine. Conclusion: To increase the stability, it would be interesting to eliminate the APR residues from the therapeutic antibodies in a such way that the antigen binding sites or the complementarity determining region loops involved in antigen recognition are not disrupted.

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