Literature DB >> 24616564

PHYSICO: An UNIX based Standalone Procedure for Computation of Individual and Group Properties of Protein Sequences.

Parth Sarthi Sen Gupta1, Shyamashree Banerjee1, Rifat Nawaz Ul Islam1, Sudipta Mondal1, Buddhadev Mondal2, Amal K Bandyopadhyay1.   

Abstract

UNLABELLED: In the genomic and proteomic era, efficient and automated analyses of sequence properties of protein have become an important task in bioinformatics. There are general public licensed (GPL) software tools to perform a part of the job. However, computations of mean properties of large number of orthologous sequences are not possible from the above mentioned GPL sets. Further, there is no GPL software or server which can calculate window dependent sequence properties for a large number of sequences in a single run. With a view to overcome above limitations, we have developed a standalone procedure i.e. PHYSICO, which performs various stages of computation in a single run based on the type of input provided either in RAW-FASTA or BLOCK-FASTA format and makes excel output for: a) Composition, Class composition, Mean molecular weight, Isoelectic point, Aliphatic index and GRAVY, b) column based compositions, variability and difference matrix, c) 25 kinds of window dependent sequence properties. The program is fast, efficient, error free and user friendly. Calculation of mean and standard deviation of homologous sequences sets, for comparison purpose when relevant, is another attribute of the program; a property seldom seen in existing GPL softwares. AVAILABILITY: PHYSICO is freely available for non-commercial/academic user in formal request to the corresponding author akbanerjee@biotech.buruniv.ac.in.

Entities:  

Keywords:  FASTA; UNIX; physicochemical properties; protein sequence; software

Year:  2014        PMID: 24616564      PMCID: PMC3937585          DOI: 10.6026/97320630010105

Source DB:  PubMed          Journal:  Bioinformation        ISSN: 0973-2063


Background

In post genomic era, bioinformatics taking the lion share of research in the field of computational biology. Physicochemical properties of amino acids (building block of protein) can be used to study protein sequence profiles, structures and functions [1]. Various types of chromatographic procedures need apriori information about physicochemical properties such as molecular weight, net charge and binding affinity for the isolation of proteins. In general, Isoelectric point, Molecular weight, Aliphatic index and GRAVY are most popular among all physicochemical properties. However, these values do not reveal anything about the code of proteins i.e. the sequence property. Sequence properties such as Polarity, hydrophobicity, hydrophilicity, relative mutability, bulkiness, refractivity and others, which are computed using experimentally determined amino acids index values, are most important. Determination of physicochemical properties of unknown proteins and finding its correlation with known ones is very important as it can provide insight into their structure and hence function. Three dimensional structures of proteins, which are more conserve, are determined by more diverse amino acids sequences [2]. Several online GPL softwares are present which analyze physicochemical properties of proteins. Most authentic among them is from ExPASy [3]. However, major bottle neck in this is that one has to input one sequence at a time for computation of above properties, which is time consuming and limited by the speed of internet. Further, managing outputs may create confusion. Propas [4] a standalone software, which can perform calculation on a number of sequences but only of three kinds of physicochemical properties. Thus, available software tools suffer from one or the other limitations. We, therefore, have developed PHYSICO which not only computes 25 kinds of sequence properties and physicochemical properties of large set of protein sequences but also computes mean properties as well as standard deviation of all input sequences for comparison. Our program thus would be helpful for researchers in the field of bioinformatics and computational biology.

Program input

PHYSICO takes protein FASTA file (raw or block) as input. User needs to be on the same directory where the FASTA file is located. In the command prompt, the program is to be run with the name of FASTA file as argument. Upon thorough check of the input file, PHYSICO starts computation and output redirection.

Preparation of RAW-FASTA file:

In this, full length sequence is to be kept in one line, following the title line (FASTA FORMAT). Any number of sequences of any length can be kept in the file. Sequences are to be retrieved from an authentic database and fed in a local text file along with header line.

Preparation of BLOCK-FASTA file:

In block FASTA file all sequences are of same length. Analysis of this file is useful for comparison among different orthologous sets adapted in different environment (such as mesophilic, thermophilic etc). Firstly a raw FASTA file is made using all available orthologous sequences as above and then it is subjected for multiple sequence alignment. Indels are to be removed and FASTA format is to be made. The block FASTA file thus obtained can be subdivided based on environment specific proteins (thermophilic or mesophilic etc) or can be separated in the same FASTA file by putting a specific marker (such as ##1, ##2 etc) just after > in the header line. Program can automatically identify the marker if it exists and process accordingly.

Program output

PHYSICO writes itemized excel outputs for block or raw FASTA files as input. In block FASTA file homologous position based computations are relevant and thus the program redirects extra relevant outputs for block FASTA files apart from common outputs. Figure 1 show details of the program.

Caveats and future development

PHYSICO is written in GAWK (interactive) language which can preferably run in any C shell UNIX prompt and also be made run on B shell Linux and window command prompts. We are developing a web based interface for PHYSICO and other tools developed in our lab.
  3 in total

Review 1.  Protein identification and analysis tools in the ExPASy server.

Authors:  M R Wilkins; E Gasteiger; A Bairoch; J C Sanchez; K L Williams; R D Appel; D F Hochstrasser
Journal:  Methods Mol Biol       Date:  1999

2.  SVM-Prot: Web-based support vector machine software for functional classification of a protein from its primary sequence.

Authors:  C Z Cai; L Y Han; Z L Ji; X Chen; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

3.  ProPAS: standalone software to analyze protein properties.

Authors:  Songfeng Wu; Yunping Zhu
Journal:  Bioinformation       Date:  2012-02-03
  3 in total
  9 in total

1.  SBION2: Analyses of Salt Bridges from Multiple Structure Files, Version 2.

Authors:  Parth Sarthi Sen Gupta; Arnab Nayek; Shyamashree Banerjee; Pratyay Seth; Sunit Das; Vishma Pratap Sur; Chittran Roy; Amal Kumar Bandyopadhyay
Journal:  Bioinformation       Date:  2015-01-30

2.  PHYSICO2: an UNIX based standalone procedure for computation of physicochemical, window-dependent and substitution based evolutionary properties of protein sequences along with automated block preparation tool, version 2.

Authors:  Shyamashree Banerjee; Parth Sarthi Sen Gupta; Arnab Nayek; Sunit Das; Vishma Pratap Sur; Pratyay Seth; Rifat Nawaz Ul Islam; Amal K Bandyopadhyay
Journal:  Bioinformation       Date:  2015-07-31

3.  ADSBET2: Automated Determination of Salt-Bridge Energy-Terms version 2.

Authors:  Arnab Nayek; Parth Sarthi Sen Gupta; Shyamashree Banerjee; Vishma Pratap Sur; Pratyay Seth; Sunit Das; Rifat Nawaz Ul Islam; Amal Kumar Bandyopadhyay
Journal:  Bioinformation       Date:  2015-08-31

4.  Insight into SNPs and epitopes of E protein of newly emerged genotype-I isolates of JEV from Midnapur, West Bengal, India.

Authors:  Shyamashree Banerjee; Parth Sarthi Sen Gupta; Amal Kumar Bandyopadhyay
Journal:  BMC Immunol       Date:  2017-03-06       Impact factor: 3.615

5.  Structural insights from water-ferredoxin interaction in mesophilic algae and halophilic archaea.

Authors:  Amal Kumar Bandyopadhyay; Rifat Nawaz U Islam; Debanjan Mitra; Sahini Banerjee; Arunava Goswami
Journal:  Bioinformation       Date:  2019-02-28

6.  AUTOMINv1.0: an automation for minimization of Protein Data Bank files and its usage.

Authors:  Rifat Nawaz Ul Islam; Debanjan Mitra; Parth Sarthi Sen Gupta; Sahini Banerjee; Buddhadev Mondal; Amal Kumar Bandyopadhyay
Journal:  Bioinformation       Date:  2018-12-22

7.  Insights from the salt bridge analysis of malate dehydrogenase from H. salinarum and E.coli.

Authors:  Amal Kumar Bandyopadhyay; Rifat Nawaz Ul Islam; Debanjan Mitra; Sahini Banerjee; Saba Yasmeen; Arunava Goswami
Journal:  Bioinformation       Date:  2019-02-28

8.  SBION: A Program for Analyses of Salt-Bridges from Multiple Structure Files.

Authors:  Parth Sarthi Sen Gupta; Sudipta Mondal; Buddhadev Mondal; Rifat Nawaz Ul Islam; Shyamashree Banerjee; Amal K Bandyopadhyay
Journal:  Bioinformation       Date:  2014-03-19

9.  PROPAB: Computation of Propensities and Other Properties from Segments of 3D structure of Proteins.

Authors:  Rifat Nawaz Ul Islam; Chittran Roy; Parth Sarthi Sen Gupta; Shyamashree Banerjee; Debanjan Mitra; Sahini Banerjee; Amal Kumar Bandyopadhyay
Journal:  Bioinformation       Date:  2018-05-31
  9 in total

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