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Int. J. Life. Sci. Scienti. Res., 3(3): 1089-1093 MAY 2017
Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1089
ProGene 1.0-An In Silico Tool for Protein-Gene
Analysis
Princy Vijayababu1
*, Gopinath Samykannu2
, SundaraBaalaji Narayanan3
Structural Biology Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India
*
Address for Correspondence: Princy Vijayababu, Research Scholar, Structural Biology Laboratory, Department of
Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India
Received: 06 February 2017/Revised: 19 March 2017/Accepted: 15 April 2017
ABSTRACT- Online Bioinformatics tool needs access through the World Wide Web, which requires Internet service. To
overcome this we programmed a new offline tool, ProGene1.0 for advanced protein and nucleotide analysis. ProGene 1.0
developed by programming language Microsoft Visual Basic 6.0 designed to predict chemical properties, Molecular
mass, Isoelectric point, Functional group variation, Molecular composition, Nucleotide composition and Nucleotide to
protein conversion. ProGene 1.0 is a desktop based tool that allows researchers to get the sequence level information on a
novel and unknown or hypothetical protein or nucleotide.
Key-words- Molecular mass, Microsoft Visual Basic6.0, Protein sequence analysis, ProGene 1.0
INTRODUCTION
With the number of interdisciplinary subject in life science,
Bioinformatics is an emerging field interface of computer
science mathematics and biology [1]
. It is a foundation of
engineering depends of both experimental and derived data.
Nucleotide and protein sequence data has considerably
increased this pool of data [2-3]
. Sequence data and
subsequence analysis by a bioinformatics tool is attracts
most attention, because it promises a considerable
reduction in both time and cost [4]
. Protein sequence
comparison has become one of the most powerful tools for
characterizing protein sequences because of the enormous
amount of information that is preserved throughout the
evolutionary process [5]
. A general approach for functional
characterization of unknown proteins is to infer protein
functions based on sequence similarity. One of the
successful approaches is to define signatures of known
families. Signatures usually identify conserved regions
among the family of proteins, revealing the importance of
their structural or physicochemical properties [6]
. Relations
between protein sequence and structure can be analyzed by
either determining the sequence features of predefined
structures and properties [7]
. Due to the advancement in
Bioinformatics, many tools were available for analysis of
protein and nucleotide sequences [8]
.
Access this article online
Quick Response Code Website:
www.ijlssr.com
DOI: 10.21276/ijlssr.2017.3.3.21
One of the major drawbacks of those tools is their web
based application which needs to be accessed through the
World Wide Web [9]
.
MATERIALS AND METHODS
To overcome the several drawbacks, after a complete
analysis of existing protein and nucleotide analysis tools
ProGene 1.0 was designed as standalone
desktop application. Over all architecture were shown in
Fig 1.
Visual Basic is a language for developing graphical user
interface [10]
. It is an event driven programming language
where the program is not based on code but it is more based
on the event given [11]
. Because of this, it is mainly used to
develop tools and software for Bioinformatics more
preferably as offline application. Most standalone
Bioinformatics software has been developed with VB only
[12]
. ProGene1.0 is also based on this language.
RESULTS
ProGene 1.0–Interface
ProGene 1.0 was basically developed to get the information
about a novel, unknown or hypothetical protein and
nucleotide sequences. The home page of ProGene 1.0 has
horizontal tool bar comprising four options namely File,
Edit, Tool, and Help. Tool menu has two submenus i.e
Protein Analyzer and Gene Analyzer. The Protein Analyzer
has four submenus like Chemical properties, Functional
Group Variation, Amino acid Composition and Molecular
Composition as shown in Fig 2. Gene Analyzer has two
submenus Sequence converter and Nucleotide
Composition.
ARTICLERESEARCH
Int. J. Life. Sci. Scienti. Res. MAY 2017
Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1090
The submenus interface contain Browse button (browse the input anywhere from personal computer), Clean
(reset all information), Save (to save all output in text file format). Users can input the hypothetical protein sequence on
“input area” by the help of browse button from PC (Personal Computer) or paste; subsequently select the necessary
parameters by selecting check box. Invalid inputs are shown by critical message. Click on “compute” button to get output.
Save the output in“.txt” format anywhere in the PC using save option. The hierarchy capability of ProGene 1.0 is shown
in Fig 3. A sample sub- menu functional properties output page was illustrated in Fig 4.
Fig 1: Architecture of ProGene 1.0
Critical message shows as
Invalid format
Output display on text-
Yes
Calculate the
parameters
Start
Check there is
any Input
Not in RAW
Format
Protein se-
Critical message shows as No
sequence
Critical message shows
DNA sequence found
Yes
No
Yes
No
Yes
No
Save the output in .txt
End/Close
Read sequence
No
Int. J. Life. Sci. Scienti. Res. MAY 2017
Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1091
Fig 2: Home page of ProGene 1.0
Fig 3: Hierarchy of capability of ProGene 1.0
Sub menus
Horizontal tool bar
Int. J. Life. Sci. Scienti. Res. MAY 2017
Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1092
Fig 4: Functional properties interface of ProGene 1.0
DISCUSSION
The basic purpose of this tool is to get primary level
information of protein. One of the major application of
ProGene 1.0 is prediction of Chemical properties like
Molecular weight [13]
and Isoelectric point (PI) used in
protein identification. Proteins have an amazing range of
structural and catalytic properties as a result of their
varying amino acid composition [14]
thus calculating amino
acid composition is an another important application of
ProGene 1.0. Functional group variation module capable to
calculate number of Polar, Non polar, Aromatics, Positive
and Negative amino acids. Molecular Composition
application can compute five major chemical compounds of
protein molecule resembling Carbon, Hydrogen, Nitrogen,
Oxygen, and Sulfur [15]
and total number of atoms present
in proteins. It also calculates Molecular formula of the
protein sequence. Gene converter can convert nucleotide
sequences to their respective transcribed reverse transcribed
and translated sequences. Another important application of
ProGene1.0 is to provide the detailed information of the
nucleotide sequences via Nucleic acids Composition. It
predicts total number of nucleotide sequences, total
composition of Adenine (A) and Thiamine (T) combination
as well as Guanine (G) and Cytosine (C) combination [16-17]
,
to know the stability of DNA structure [18]
and the GC
content percentage especially for the optimized primer
design [19]
. As a result ProGene 1.0 enables more flexibility
and expandability compared with other online tools.
CONCLUSIONS
ProGene 1.0 is a standalone desktop
application and developed with Microsoft Visual Basic 6.0
to calculate physio-chemical properties like
Molecular mass, Iso-electric point, Functional group
residues, Molecular composition of the sequence,
Nucleotide composition of the gene. This is a user friendly
applications even a non bioinformaticians. ProGene 1.0 is
runs on Microsoft Windows (XP, 7, 8). It is Available on
http://www.b-u.ac.in/projects/progene.zip.
AUTHOR’S CONTRIBUTION
NSB identified the need had input on tool design and
features. SG designs the work and also contributed to
manuscript writings VP develop the tool and manuscript.
All the authors participated in the writing and approval of
the manuscripts. All authors read and approved the final
manuscript.
REFERENCES
[1] Benton D. Bioinformatics- Principles and potential of a new
multidisciplinary tool. Trends Biotechnol, 1996; 14(8):
261-272.
[2] Wang X, Slebos RJ, Wang D, Halvey PJ, Tabb DL, Liebler
DC, and Zhang B. Protein identification using customized
protein sequence databases derived from RNA-Seq data. J
Proteome Res. 2012; 11(2), 1009–1017.
[3] Smalheiser NR. Linking investigators. A centralized linking
facility for data sharing and coordination of samples in tissue
banks. EMBO Rep. 2003; 4(2):108-110.
Input
Parameters
Input
Properties
Output
Int. J. Life. Sci. Scienti. Res. MAY 2017
Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1093
[4] Moore A and Brailsford T. Unified Hyperstructures for
Bioinformatics: Escaping the Application Prison. Journal of
Digital Information. 2006; 5(1):254.
[5] Dayhoff MO., Eck RV., and Park CM. Atlas of protein
sequence and structure. Washington. National Biomedical
Research Foundation. 1972.
[6] Hulo N, Sigrist CJ, Le Saux V, Langendijk-Genevaux PS,
Bordoli L, Gattiker A, De Castro E, Bucher P and Bairoch A.
Recent improvements to the PROSITE database. Nucleic
Acids Res, 2004; 32:134-137.
[7] Bystroff C, Simons KT, Han KF and Baker D. Local
sequence-structure correlations in proteins. Curr Opin
Biotechnol. 1996; 7(4):417-21.
[8] Xiong J.Essential Bioinformatics. New York, Cambridge
University Press. 2006.
[9] Afzal M1, Shahid AA, Shehzadi A, Nadeem S and Husnain
T. RDNAnalyzer: A tool for DNA secondary structure
prediction and sequence analysis. Bioinformation. 2012;
8(14):687-690.
[10]Haggard G, Hutchison W and Shibata C. Introduction:
Visual BASIC 6.0. 1st
ed, Bookboon, 2013.
[11]Schneider ID. An Introduction to Programming Using Visual
Basic 6.0. 6th
ed, USA, University of Maryland, Prentic Hall
publishers. 2006.
[12]Jung SK, McDonald K. Visual gene developer: A fully
programmable bioinformatics software for synthetic gene
optimization. BMC Bioinformatics. 2011; 16; 12:340.
[13]Gasteiger E, Hoogland C, Gattiker A, Duvaud S, Wilkins
RM, Appel DR and Bairoch A . Protein Identification and
Analysis Tools on the ExPASy Server. In The Proteomics
Protocols Handbook, Humana Press. 2005;571-607.
[14]Wade LG. Organic chemistry.6th
ed, India, Pearson
Education publisher. 2005.
[15]Cohn EJ. Some Physical-Chemical Characteristics of Protein
Molecules. Chemistry Reviews.1939;24 (2): 203–232.
[16]Lercher MJ, Urrutia AO, Pavlícek A, Hurst LD. A
unification of mosaic structures in the human genome. Hum
Mol Genet. 2003; 12(19):2411-2415.
[17]Raymond A, Lovell S, Lorimer D, Walchli J, Mixon M,
Wallace E , Thompkins K , Archer K , Burgin A and Stewart
L. Combined protein construct and synthetic gene
engineering for heterologous protein expression and
crystallization using Gene Composer. BMC Biotechnology,
2009; 9-37.
[18] Lercher JM, Urrutia OA, Pavlíček A, Laurence D. Hurst
DL. A unification of mosaic structures in the human genome.
Hum Mol Genet. 2003; 12 (19): 2411-2415.
[19]Kampke T, Kieninger M, Mecklenburg M. Efficient primer
design algorithms. Bioinformatics. 2001; 17 (3):214-225.
International Journal of Life-Sciences Scientific Research (IJLSSR)
Open Access Policy
Authors/Contributors are responsible for originality, contents, correct
references, and ethical issues.
IJLSSR publishes all articles under Creative Commons
Attribution- Non-Commercial 4.0 International License (CC BY-NC).
https://creativecommons.org/licenses/by-nc/4.0/legalcode
How to cite this article:
Vijayababu P, Samykannu G, Narayanan S: ProGene 1.0-An In Silico Tool for Protein-Gene Analysis. Int. J. Life. Sci. Scienti.
Res., 2017; 3(3): 1089-1093. DOI:10.21276/ijlssr.2017.3.3.21
Source of Financial Support: Nil, Conflict of interest: Nil

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ProGene 1.0-An In Silico Tool for Protein-Gene Analysis

  • 1. Int. J. Life. Sci. Scienti. Res., 3(3): 1089-1093 MAY 2017 Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1089 ProGene 1.0-An In Silico Tool for Protein-Gene Analysis Princy Vijayababu1 *, Gopinath Samykannu2 , SundaraBaalaji Narayanan3 Structural Biology Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India * Address for Correspondence: Princy Vijayababu, Research Scholar, Structural Biology Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India Received: 06 February 2017/Revised: 19 March 2017/Accepted: 15 April 2017 ABSTRACT- Online Bioinformatics tool needs access through the World Wide Web, which requires Internet service. To overcome this we programmed a new offline tool, ProGene1.0 for advanced protein and nucleotide analysis. ProGene 1.0 developed by programming language Microsoft Visual Basic 6.0 designed to predict chemical properties, Molecular mass, Isoelectric point, Functional group variation, Molecular composition, Nucleotide composition and Nucleotide to protein conversion. ProGene 1.0 is a desktop based tool that allows researchers to get the sequence level information on a novel and unknown or hypothetical protein or nucleotide. Key-words- Molecular mass, Microsoft Visual Basic6.0, Protein sequence analysis, ProGene 1.0 INTRODUCTION With the number of interdisciplinary subject in life science, Bioinformatics is an emerging field interface of computer science mathematics and biology [1] . It is a foundation of engineering depends of both experimental and derived data. Nucleotide and protein sequence data has considerably increased this pool of data [2-3] . Sequence data and subsequence analysis by a bioinformatics tool is attracts most attention, because it promises a considerable reduction in both time and cost [4] . Protein sequence comparison has become one of the most powerful tools for characterizing protein sequences because of the enormous amount of information that is preserved throughout the evolutionary process [5] . A general approach for functional characterization of unknown proteins is to infer protein functions based on sequence similarity. One of the successful approaches is to define signatures of known families. Signatures usually identify conserved regions among the family of proteins, revealing the importance of their structural or physicochemical properties [6] . Relations between protein sequence and structure can be analyzed by either determining the sequence features of predefined structures and properties [7] . Due to the advancement in Bioinformatics, many tools were available for analysis of protein and nucleotide sequences [8] . Access this article online Quick Response Code Website: www.ijlssr.com DOI: 10.21276/ijlssr.2017.3.3.21 One of the major drawbacks of those tools is their web based application which needs to be accessed through the World Wide Web [9] . MATERIALS AND METHODS To overcome the several drawbacks, after a complete analysis of existing protein and nucleotide analysis tools ProGene 1.0 was designed as standalone desktop application. Over all architecture were shown in Fig 1. Visual Basic is a language for developing graphical user interface [10] . It is an event driven programming language where the program is not based on code but it is more based on the event given [11] . Because of this, it is mainly used to develop tools and software for Bioinformatics more preferably as offline application. Most standalone Bioinformatics software has been developed with VB only [12] . ProGene1.0 is also based on this language. RESULTS ProGene 1.0–Interface ProGene 1.0 was basically developed to get the information about a novel, unknown or hypothetical protein and nucleotide sequences. The home page of ProGene 1.0 has horizontal tool bar comprising four options namely File, Edit, Tool, and Help. Tool menu has two submenus i.e Protein Analyzer and Gene Analyzer. The Protein Analyzer has four submenus like Chemical properties, Functional Group Variation, Amino acid Composition and Molecular Composition as shown in Fig 2. Gene Analyzer has two submenus Sequence converter and Nucleotide Composition. ARTICLERESEARCH
  • 2. Int. J. Life. Sci. Scienti. Res. MAY 2017 Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1090 The submenus interface contain Browse button (browse the input anywhere from personal computer), Clean (reset all information), Save (to save all output in text file format). Users can input the hypothetical protein sequence on “input area” by the help of browse button from PC (Personal Computer) or paste; subsequently select the necessary parameters by selecting check box. Invalid inputs are shown by critical message. Click on “compute” button to get output. Save the output in“.txt” format anywhere in the PC using save option. The hierarchy capability of ProGene 1.0 is shown in Fig 3. A sample sub- menu functional properties output page was illustrated in Fig 4. Fig 1: Architecture of ProGene 1.0 Critical message shows as Invalid format Output display on text- Yes Calculate the parameters Start Check there is any Input Not in RAW Format Protein se- Critical message shows as No sequence Critical message shows DNA sequence found Yes No Yes No Yes No Save the output in .txt End/Close Read sequence No
  • 3. Int. J. Life. Sci. Scienti. Res. MAY 2017 Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1091 Fig 2: Home page of ProGene 1.0 Fig 3: Hierarchy of capability of ProGene 1.0 Sub menus Horizontal tool bar
  • 4. Int. J. Life. Sci. Scienti. Res. MAY 2017 Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1092 Fig 4: Functional properties interface of ProGene 1.0 DISCUSSION The basic purpose of this tool is to get primary level information of protein. One of the major application of ProGene 1.0 is prediction of Chemical properties like Molecular weight [13] and Isoelectric point (PI) used in protein identification. Proteins have an amazing range of structural and catalytic properties as a result of their varying amino acid composition [14] thus calculating amino acid composition is an another important application of ProGene 1.0. Functional group variation module capable to calculate number of Polar, Non polar, Aromatics, Positive and Negative amino acids. Molecular Composition application can compute five major chemical compounds of protein molecule resembling Carbon, Hydrogen, Nitrogen, Oxygen, and Sulfur [15] and total number of atoms present in proteins. It also calculates Molecular formula of the protein sequence. Gene converter can convert nucleotide sequences to their respective transcribed reverse transcribed and translated sequences. Another important application of ProGene1.0 is to provide the detailed information of the nucleotide sequences via Nucleic acids Composition. It predicts total number of nucleotide sequences, total composition of Adenine (A) and Thiamine (T) combination as well as Guanine (G) and Cytosine (C) combination [16-17] , to know the stability of DNA structure [18] and the GC content percentage especially for the optimized primer design [19] . As a result ProGene 1.0 enables more flexibility and expandability compared with other online tools. CONCLUSIONS ProGene 1.0 is a standalone desktop application and developed with Microsoft Visual Basic 6.0 to calculate physio-chemical properties like Molecular mass, Iso-electric point, Functional group residues, Molecular composition of the sequence, Nucleotide composition of the gene. This is a user friendly applications even a non bioinformaticians. ProGene 1.0 is runs on Microsoft Windows (XP, 7, 8). It is Available on http://www.b-u.ac.in/projects/progene.zip. AUTHOR’S CONTRIBUTION NSB identified the need had input on tool design and features. SG designs the work and also contributed to manuscript writings VP develop the tool and manuscript. All the authors participated in the writing and approval of the manuscripts. All authors read and approved the final manuscript. REFERENCES [1] Benton D. Bioinformatics- Principles and potential of a new multidisciplinary tool. Trends Biotechnol, 1996; 14(8): 261-272. [2] Wang X, Slebos RJ, Wang D, Halvey PJ, Tabb DL, Liebler DC, and Zhang B. Protein identification using customized protein sequence databases derived from RNA-Seq data. J Proteome Res. 2012; 11(2), 1009–1017. [3] Smalheiser NR. Linking investigators. A centralized linking facility for data sharing and coordination of samples in tissue banks. EMBO Rep. 2003; 4(2):108-110. Input Parameters Input Properties Output
  • 5. Int. J. Life. Sci. Scienti. Res. MAY 2017 Copyright © 2015-2017| IJLSSR by Society for Scientific Research is under a CC BY-NC 4.0 International License Page 1093 [4] Moore A and Brailsford T. Unified Hyperstructures for Bioinformatics: Escaping the Application Prison. Journal of Digital Information. 2006; 5(1):254. [5] Dayhoff MO., Eck RV., and Park CM. Atlas of protein sequence and structure. Washington. National Biomedical Research Foundation. 1972. [6] Hulo N, Sigrist CJ, Le Saux V, Langendijk-Genevaux PS, Bordoli L, Gattiker A, De Castro E, Bucher P and Bairoch A. Recent improvements to the PROSITE database. Nucleic Acids Res, 2004; 32:134-137. [7] Bystroff C, Simons KT, Han KF and Baker D. Local sequence-structure correlations in proteins. Curr Opin Biotechnol. 1996; 7(4):417-21. [8] Xiong J.Essential Bioinformatics. New York, Cambridge University Press. 2006. [9] Afzal M1, Shahid AA, Shehzadi A, Nadeem S and Husnain T. RDNAnalyzer: A tool for DNA secondary structure prediction and sequence analysis. Bioinformation. 2012; 8(14):687-690. [10]Haggard G, Hutchison W and Shibata C. Introduction: Visual BASIC 6.0. 1st ed, Bookboon, 2013. [11]Schneider ID. An Introduction to Programming Using Visual Basic 6.0. 6th ed, USA, University of Maryland, Prentic Hall publishers. 2006. [12]Jung SK, McDonald K. Visual gene developer: A fully programmable bioinformatics software for synthetic gene optimization. BMC Bioinformatics. 2011; 16; 12:340. [13]Gasteiger E, Hoogland C, Gattiker A, Duvaud S, Wilkins RM, Appel DR and Bairoch A . Protein Identification and Analysis Tools on the ExPASy Server. In The Proteomics Protocols Handbook, Humana Press. 2005;571-607. [14]Wade LG. Organic chemistry.6th ed, India, Pearson Education publisher. 2005. [15]Cohn EJ. Some Physical-Chemical Characteristics of Protein Molecules. Chemistry Reviews.1939;24 (2): 203–232. [16]Lercher MJ, Urrutia AO, Pavlícek A, Hurst LD. A unification of mosaic structures in the human genome. Hum Mol Genet. 2003; 12(19):2411-2415. [17]Raymond A, Lovell S, Lorimer D, Walchli J, Mixon M, Wallace E , Thompkins K , Archer K , Burgin A and Stewart L. Combined protein construct and synthetic gene engineering for heterologous protein expression and crystallization using Gene Composer. BMC Biotechnology, 2009; 9-37. [18] Lercher JM, Urrutia OA, Pavlíček A, Laurence D. Hurst DL. A unification of mosaic structures in the human genome. Hum Mol Genet. 2003; 12 (19): 2411-2415. [19]Kampke T, Kieninger M, Mecklenburg M. Efficient primer design algorithms. Bioinformatics. 2001; 17 (3):214-225. International Journal of Life-Sciences Scientific Research (IJLSSR) Open Access Policy Authors/Contributors are responsible for originality, contents, correct references, and ethical issues. IJLSSR publishes all articles under Creative Commons Attribution- Non-Commercial 4.0 International License (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/legalcode How to cite this article: Vijayababu P, Samykannu G, Narayanan S: ProGene 1.0-An In Silico Tool for Protein-Gene Analysis. Int. J. Life. Sci. Scienti. Res., 2017; 3(3): 1089-1093. DOI:10.21276/ijlssr.2017.3.3.21 Source of Financial Support: Nil, Conflict of interest: Nil