scholarly journals In-Silico Molecular Characterization of Human TSH? Subunit Protein

2017 ◽  
Vol 6 (1) ◽  
pp. 1786-1789
Keyword(s):  
Molecular Characterization ◽  
In Silico ◽  
Subunit Protein

scholarly journals In silico whole-genome scanning of cancer-associated nonsynonymous SNPs and molecular characterization of a dynein light chain tumour variant

Oncogene ◽  
2005 ◽  
Vol 24 (40) ◽  
pp. 6133-6142 ◽  
Author(s):  
Abdel Aouacheria ◽  
Vincent Navratil ◽  
Wenyu Wen ◽  
Ming Jiang ◽  
Dominique Mouchiroud ◽  
...  
Keyword(s):  
Molecular Characterization ◽  
Light Chain ◽  
In Silico ◽  
Nonsynonymous Snps ◽  
Whole Genome ◽  
Dynein Light Chain ◽  
Genome Scanning

scholarly journals Identification and in silico characterization of hemocyanin γ-type subunit protein in Vibrio harveyi infected freshwater prawn, Macrobrachium rosenbergii

2021 ◽  
Vol 42 (1) ◽  
pp. 14-23
Author(s):  
B.B. Patnaik ◽  
◽  
S. Baliarsingh ◽  
S. Sahoo ◽  
J.M. Chung ◽  
...  
Keyword(s):  
Amino Acid ◽  
In Silico ◽  
Vibrio Harveyi ◽  
Macrobrachium Rosenbergii ◽  
Full Length ◽  
Freshwater Prawn ◽  
Amino Acid Residues ◽  
Subunit Protein ◽  
In Silico Tools

Aim: Identification of full-length ORF of hemocyanin subunit-1 (Mr_HC_1) from the hepatopancreas transcriptome of freshwater prawn, Macrobrachium rosenbergii infected with Vibrio harveyi and characterization of its sequence and structure by in silico tools and softwares. Methodology: Illumina HiSeq and de novo assembled unigenes were scanned against PANM-DB to screen Mr_HC_1. FGENESH gene prediction and SMART programs were used to predict the ORF region. Subsequently, Clustal X2 and MEGA in-silico tools were used to understand the sequence relatedness and evolutionary status of Mr_HC_1. Structural prediction was performed by SWISS-MODEL and Ramachandran plot modeling programs Results: The full-length ORF was 1983 bp in length encoding a polypeptide of 661 amino acid residues. Mr_HC_1 showed a putative signal peptide of 21 amino acid residues at the N-terminus and three hemocyanin domains. Homology analysis of Mr_HC_1 amino acid sequence confirms maximum identity to M. nipponense hemocyanin subunit-1 (Mn_HC_1). Phylogenetic analysis showed that Mr_HC_1 is more closely related to the hemocyanin γ-type subunit of freshwater shrimps. Homology modeling of Mr_HC_1 showed homo-hexameric protein containing 12 copper ions. With a QMEAN score of -3.33 and model-template sequence identity of 59.15%, the predicted model of Mr_HC_1 is convincing Interpretation: This study characterizes the hemocyanin γ-type subunit protein of freshwater prawn, M. rosenbergii for future studies on host defense mechanisms.

scholarly journals Molecular Characterization of Hepatitis C Virus for Developed Antiviral Agents Resistance Mutations and New Insights into in-silico Prediction Studies

2020 ◽  
Vol Volume 13 ◽  
pp. 4235-4248
Author(s):  
Mohamed M Adel El-Sokkary ◽  
Lizaveta Gotina ◽  
Mohammad M. Al-Sanea ◽  
Ae Nim Pae ◽  
Rehab Mohammed Elbargisy
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Molecular Characterization ◽  
In Silico ◽  
Antiviral Agents ◽  
In Silico Prediction ◽  
Resistance Mutations

scholarly journals In silico identification and molecular characterization of genes predominantly expressed in the fish oocyte

BMC Genomics ◽  
2008 ◽  
Vol 9 (1) ◽  
pp. 499 ◽  
Author(s):  
Julien Bobe ◽  
Thaovi Nguyen ◽  
Sophie Mahé ◽  
Philippe Monget
Keyword(s):  
Molecular Characterization ◽  
In Silico ◽  
In Silico Identification ◽  
Fish Oocyte

In silico-initiated cloning and molecular characterization of a novel human member of the L1 gene family of neural cell adhesion molecules

1998 ◽  
Vol 103 (3) ◽  
pp. 355-364 ◽  
Author(s):  
Ming-Hui Wei ◽  
Irina Karavanova ◽  
Sergey V. Ivanov ◽  
Nicolae C. Popescu ◽  
Catherine L. Keck ◽  
...  
Keyword(s):  
Cell Adhesion ◽  
Gene Family ◽  
Adhesion Molecules ◽  
Molecular Characterization ◽  
In Silico ◽  
Cell Adhesion Molecules ◽  
Neural Cell ◽  
Neural Cell Adhesion Molecules ◽  
Neural Cell Adhesion

scholarly journals In Silico Molecular Characterization of Cysteine Protease YopT from Yersinia pestis by Homology Modeling and Binding Site Identification

2014 ◽  
Vol 8 (1) ◽  
Author(s):  
Md. Anayet Hasan ◽  
S. M. Alauddin ◽  
Mohammad Al Amin ◽  
Suza Mohammad Nur ◽  
Adnan Mannan
Keyword(s):  
Homology Modeling ◽  
Binding Site ◽  
Yersinia Pestis ◽  
Molecular Characterization ◽  
Cysteine Protease ◽  
In Silico ◽  
Binding Site Identification ◽  
Site Identification

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