BOL: Related items

Predicting Pathogen Virulence Using Bioinformatics Tools

BioStar — Tue, 04 Nov 2025 07:55:53 -0600

In the genomic era, the ability to predict the virulence potential of pathogens has become an indispensable part of infectious disease research. With the exponential growth of microbial genome data, bioinformatics tools now enable scientists to identify virulence factors, model pathogen behavior, and even forecast outbreak risks — all from sequence data.

In an age where pathogens continue to evolve and cross boundaries, understanding what makes them virulent—that is, capable of causing disease—has become a critical focus in modern microbiology and genomics. Virulence prediction bridges computational biology, genomics, and machine learning to forecast the pathogenic potential of microbes before they strike.

What Is Virulence?

Virulence refers to the degree of damage a pathogen can inflict on its host. It is determined by a combination of genetic factors—called virulence factors (VFs)—that allow the organism to attach, invade, evade, and harm the host. These include genes coding for toxins, secretion systems, adhesins, and enzymes that disrupt host defenses.

Understanding virulence factors not only helps in deciphering the mechanisms of infection but also provides early warning signs for emerging threats.

Why Predict Virulence?

Traditional virulence studies relied heavily on experimental infection models, which, although accurate, are time-consuming, expensive, and ethically constrained.
Today, the availability of whole-genome sequences and large-scale pathogen databases has paved the way for in silico virulence prediction—a computational approach that can screen thousands of genomes within hours.

This approach enables researchers to:

Rapidly identify potential high-risk strains.
Prioritize pathogens for containment, surveillance, or further study.
Guide vaccine development and drug target discovery.
Support One Health frameworks, linking animal, human, and environmental health data.

How Is Virulence Predicted?

Virulence prediction combines bioinformatics pipelines with machine learning and comparative genomics. The process generally involves:

Genome Annotation: Identifying genes and coding sequences in microbial genomes.
Feature Extraction: Comparing sequences with curated databases like VFDB (Virulence Factor Database), PATRIC, or Victors.
Pattern Recognition: Using algorithms (e.g., Random Forest, SVM, or deep learning models) to classify genes or strains as virulent or non-virulent based on sequence patterns, motifs, and protein domains.
Scoring and Visualization: Assigning a virulence score or confidence level and visualizing it through heatmaps or genome maps.

Tools and Resources for Virulence Prediction

A number of tools and databases make virulence prediction accessible to the scientific community:

VFanalyzer – For identifying virulence genes based on VFDB.
PathoFact – Predicts virulence, antimicrobial resistance (AMR), and toxin genes from metagenomic data.
Pangenome-based models – Identify virulence-associated gene clusters across strains.
Machine learning models – Use features like GC content, codon usage bias, or protein domains to predict pathogenicity.

Emerging tools now integrate multi-omic data—including transcriptomics, proteomics, and metabolomics—to understand virulence in a systems biology framework.

Applications in the Real World

Virulence prediction has major implications across public health and research sectors:

Epidemic preparedness: Early identification of virulent strains in outbreak samples.
AMR surveillance: Linking virulence profiles with antibiotic resistance determinants.
Environmental monitoring: Predicting pathogenic potential of soil or waterborne microbes.
Clinical diagnostics: Supporting personalized treatment through pathogen profiling.

For instance, integrating virulence prediction pipelines into national surveillance networks could enable faster risk assessment and response to infectious outbreaks.

The Road Ahead

As machine learning and genomics advance, virulence prediction will evolve from simple gene-based detection to dynamic, context-aware models that account for host–pathogen interactions, environmental signals, and evolutionary adaptation.

Future tools may predict not just if a strain is virulent, but under what conditions it expresses that virulence—bridging the gap between genotype and phenotype.

In Summary

Virulence prediction is redefining how we understand and anticipate infectious diseases. By coupling genomic insights with computational intelligence, researchers can identify potential threats earlier, design smarter interventions, and ultimately, strengthen our preparedness against emerging pathogens.

Hidden Markov Models, Viterbi Algorithm, Markov Chain Exploration with script

Manisha Mishra — Thu, 14 Nov 2013 13:36:56 -0600

Hidden Markov Models, the Viterbi Algorithm, and CpG Islands (in VB6)

Problem :

The CG island is a stretch of DNA (usually longer than 200 bases) in which the frequency of the CG sequence is higher than other regions. It is also called the CpG island, where "p" simply indicates that "C" and "G" are connected by a phosphodiester bond.

CpG islands are often located around the promoters of housekeeping genes (which are essential for general cell functions) or other genes frequently expressed in a cell. At these locations, the CG sequence is not methylated. By contrast, the CG sequences in inactive genes are usually methylated to suppress their expression. The methylated cytosine may be converted to thymine by accidental deamination. Unlike the cytosine to uracil mutation which is efficiently repaired, the cytosine to thymine mutation can be corrected only by the mismatch repair which is very inefficient. Hence, over evolutionary time scales, the methylated CG sequence will be converted to the TG sequence.

Find step wise explanationand implementation steps at http://dna.cs.byu.edu/bio465/Labs/hmm.shtml

Source code with explanation http://www.tannerhelland.com/1187/hidden-markov-models-viterbi-algorithm-cpg-islands-in-vb6/

Fore detail understanding of HMM read this excellent tutorial http://www.cs.ubc.ca/~murphyk/Software/HMM/labman2.pdf

Viterbi Algo at http://en.wikipedia.org/wiki/Viterbi_path

For firther reading Wiki page http://en.wikipedia.org/wiki/Hidden_Markov_model

On CpG island paper and for indepth understanding http://www.biomedcentral.com/1471-2164/12/S2/S10

If you are more interested in exploring Markov Chain Exploration and understand it with graphical version please visit http://www.planet-source-code.com/vb/scripts/ShowCode.asp?txtCodeId=75049&lngWId=1

Reference:

1.http://www.planet-source-code.com

2. http://www.tannerhelland.com

Molecular Bioinformatics Lab (MBL)

Tue, 19 Nov 2013 18:23:27 -0600

The main subject of interest in our laboratory is the study of the relationship among sequence, structure, and function in proteins and nucleic acids. Our research can be divided in two major topics:

the study of the sequence-structure relationship
(application -> structure prediction)
the study of the structure-function relationship
(application -> function prediction)

Therefore, anything related to the configuration (sequence) and conformation (structure) in atomic systems of proteins and nucleic acids, and the interaction of these with other elements (function) is of our major interest.

Lab page @ http://melolab.org/mbl/

What Junk DNA? It’s an Operating System

Rahul Agarwal — Mon, 19 Aug 2013 15:24:26 -0500

The report adds to growing experimental support for the idea that all that extra stuff in the human genes, once referred to as “junk DNA,” is more than functionless, space-filling material that happens to make up nearly 98% of the genome. The paper adds to a growing body of knowledge establishing a considerable role for this material in the regulation of gene expression and its potential role in human disease.

Address of the bookmark: http://www.genengnews.com/keywordsandtools/print/3/32115/

Scientist Positions @ Gujarat State Biotechnology Mission

Mon, 25 Nov 2013 10:26:39 -0600

Gujarat State Biotechnology Mission invite applications [Online Only] under various projects* namely Gujarat Biodiversity Gene Bank (BioGene), Gujarat Institute of Genomics (GIG), Gujarat Institute of Bioinformatics [GIBS] and Gujarat Institute of Marine Biotechnology. Eligible candidates can Apply through online application portal.

1 Scientist E 3

50,000/-

M.Sc. in Life sciences or Plant Sciences or Biotechnology or Microbiology or Bioinformatics or Ph.D. from a recognized university in any of above subject.

Minimum 8 Yrs. of experience after M.Sc. or 5 Yrs. of experience after Ph.D. in responsible position of work in R & D in the area of genomics/ conservation biotechnology/bioinformatics/Planning/Scientific Administration in Science and technology organization. Highly qualified in the area of modern biology, as evidenced through research experience and proven ability to carry out work in the area of conservation biotechnology. Age limit not exceeding 40yrs.

2 Scientist B 6

30,000/-

M.Sc. in Life sciences or Plant Sciences or Biotechnology or Microbiology or Bioinformatics or Ph.D. from a recognized university in any of above subject shall be preferred.

Minimum 3 Yrs. of experience after M.Sc. in responsible position of work in R & D in the area of genomics/ conservation biotechnology/ bioinformatics /Planning/Scientific Administration in Science and technology organization. Highly qualified in the area of modern biology, as evidenced through research experience and proven ability to carry out work in the area of conservation biotechnology. Age limit not exceeding 35yrs.

The positions are purely on contractual basis for 11 months. Interested candidates can apply online in specified format available at "http://leogen.in/recruit/" The last date of applying is 24th December, 2013. Applications must be submitted online only. Applications submitted in any other format except online prescribed performa will be rejected. Candidates in service must apply through proper channel. Candidates will be required to provide original documents along with duly filled and signed application Performa, as and when called for interview.

For more details please visit the website URL : http://leogen.in/recruit

Junior Research Fellow (JRF) / Project Fellow @ Kalasalingam University

Thu, 19 Dec 2013 13:23:39 -0600

Applications are invited from interested candidates for the post of one Junior Research Fellow / Project Fellow on a purely temporary basis in a time bound research project (3 years) sponsored by Science and Engineering Research Board, Government of India, New Delhi.

Name of the fellowship: Junior Research Fellow (JRF) / Project Fellow

Title of the project: Genome-wide Mapping of Murine Specific Dengue T-cell Epitopes: Computational Prediction, Identification and use as Candidate Vaccines

Duration: 3 years

Fellowship: Rs. 18,000 for first 2 years and Rs. 20,000 for 3rdyear (for M.Tech. candidates)

Rs. 16,000 for first 2 years and Rs. 18,000 for 3rdyear (for M.Sc. candidates with NET qualification)

Rs. 8,000 for first 2 years and Rs. 10,000 for 3rdyear (for M.Sc. candidates without NET qualification)

Qualifications: M.Tech. in Biotechnology / M.Sc. in any branch of Life Sciences

Desirable Experience: Minimum of two years research experience in any of the following areas: Immunology / Microbiology / Gene Manipulation / Bioinformatics

Interested and eligible candidates may apply with their resume along with relevant documents and a passport size photograph to the Principal Investigator by post (or e-mail) on or before December 31, 2013. Only short listed candidates will be called for written test and/or interview. Selected candidate may register for PhD in Kalasalingam University. No TA/DA will be paid for attending interview.

Dr. K. Sundar
Principal Investigator (SERB Project)
Department of Biotechnology
Kalasalingam University
Krishnankoil – 626126, Tamil Nadu
sundarkr@klu.ac.in

Asst. Professor @ JAIPUR NATIONAL UNIVERSITY

Fri, 27 Dec 2013 19:54:40 -0600

JAIPUR NATIONAL UNIVERSITY

Established by Government of Rajasthan

Approved by UGC under Sec 2(f) of UGC Act 1956

ADVERTISEMENT FOR FACULTY POSITION AT JAIPUR NATIONAL UNIVERSITY,JAIPUR

Jaipur National University, Jaipur is a premier centre of learning, providing various integrated and interdisciplinary programmes of study and research in the country. With the opening of the School of Distance Education & Learning, JNU has taken education to the doorsteps of those aspirants who, for some reason, could not be a part of regular stream of education. In this era of competition & ambition for excellence, it has become imperative to have quality education & an alert mind coupled with the right attitude to carry onself, and for this, JNU happens to be the most sought after destination.

School Of Life Sciences: Bioinformatics, Chemistry

Total no of Post: 04

Education:

PG – M.Sc /M.Tech Bioinformatics

PG – M.Sc /M.Tech Chemistry

Experience:

Candidate with 1-2 years of teaching experience in college/ University will be preffered. Freshers may also apply.

Compensation: Compensation will not be a problem for the right candidate

HOW TO APPLY:

SEND THE UPDATED RESUME THROUGH MAIL OR POST AT

dsbhatia5@yahoo.com

contact no: 7568246839

Website: http://www.jnujaipur.ac.in

Please mail your resume to Prof.D.S.Bhatia

Email Address: dsbhatia5@yahoo.com

Ph:, +917568246839

7th International Conference on Bioinformatics and Computational Biology (BICoB)

Rahul Agarwal — Mon, 06 Oct 2014 16:19:36 -0500

In recent years, computational biology and medical informatics have seen significant advances driven by computational techniques in bioinformatics making bioinformatics and computational biology among the most vibrant research areas. The 7th international conference on Bioinformatics and Computational Biology (BICoB-2015) provides an excellent venue for researchers and practitioners in the fields of bioinformatics and computational biology to present and publish their research results and techniques. The BICoB conference seeks original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related disciplines. We also encourage work in progress and research results in the emerging and evolutionary computational areas. Computational techniques have already enabled unprecedented advances in modern biology and medicine. Work in the computational methods related to, or with application in, bioinformatics is also encouraged including: data mining, text mining, machine learning, modeling and simulation, pattern recognition, data visualization, biostatistics, .etc. The topics of interest include (and are not limited to):
Genome analysis: Genome assembly, genome annotation, gene finding, alternative splicing, EST analysis and comparative genomics.
Sequence analysis: Multiple sequence alignment, sequence search and clustering, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences.
Phylogenetics: Phylogeny estimation, models of evolution, comparative biological methods, population genetics.
Structural Bioinformatics: Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design
Analysis of high-throughput biological data: Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry.
Genetics and population analysis: Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling.
Systems biology: Systems approaches to molecular biology, multiscale modeling, pathways,gene networks.
Computational Proteomics: Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data etc.

Authors of selected high quality papers in BICoB-2015 will be invited to submit extended version of their papers for possible publication in bioinformatics journals (Journal of Bioinformatics and Computational Biology JBCB).

Deadlines:

Paper Submission Deadline October 24, 2014
Notification of Acceptance December 15, 2014
Camera-Ready Manuscript January 16, 2015

Address of the bookmark: http://www.cs.umb.edu/bicob/

SENIOR PROGRAMMER @ Biotech Park

Mon, 20 Jan 2014 04:50:36 -0600

Advt. No. (1)/BP/2014
A walk-in-interview will be held in the Biotech Park Office at Sector G, Jankipuram, Kursi Road, Lucknow (U.P.) January 31, 2014 at 11.00 A.M. for the following posts of DBT sponsored project tenable at Biotech Park. Interested candidates fulfilling the requisite qualifications, experience and age as given below, on the date of interview, may appear before the Selection Committee. The candidate will have to join immediately. Appointment will be made initially for six months extendable on satisfactory performance till the duration of the project.
INTERVIEW ON January 31, 2014 at 11.00 A.M.

SENIOR PROGRAMMER (ONE POST)
Educational Qualification
M.Sc./B. Tech Bioinformatics with minimum 60% marks with two years of relevant experience
Job Requirement
Development of databases in multi user environment and application softwares, updating and maintenance of website, Drug designing and QSAR study etc.
Desirable
Knowledge of Bioinformatics tools, Windows, Linux, C++, JAVA / JAVA Script, Visual Basic, CGI, DBMS/RDBMS and HTML. Experience in various domains of bioinformatics such as structure based drug designing, Newtonian dynamics and QSAR studies.
Age
Below 35 years (as on the date of interview)
Emoluments
Rs. 12,000/- per month fixed.
Note: All the candidates should report for interview on or before 10.30 A.M
General Conditions
The aforesaid positions are purely temporary and do not give the incumbent any right whatsoever for appointment on regular basis.
The applicant will have to submit typed and duly signed application on plain paper on the day of interview stating:
(a) Advertisement No.
(b) Position applied for
(c) Name of Applicant (in Block letters)
(d) Father’s Name
(e) Date of Birth
(f) Sex
(g) Age as on the date of interview (dd / mm / yy )
(h) Address (Permanent & correspondence)
(i) Educational Qualifications (High School onwards) with examination passed, year, % marks, subjects
(j) Employment experience, if any i.e. Name of employer, nature of employment, date of joining and leaving.
Applications must be accompanied by a latest passport size photograph and attested copies of certificates
Original certificates/degree and testimonials should be produced by the candidate for verification at the time of interview.

Tenure: Initially upto six months and extendable based on performance.
The upper age limit can be relaxed up to 5 years in the case of applicant belonging to SC/ST/Woman/Physically handicapped and 3 years for OBCs.
No TA/DA will be paid for attending the interview.
More at http://www.biotechpark.org.in/index1.htm

Marie Curie PhD position available immediately

Fri, 24 Apr 2015 09:23:57 -0500

Sub-project 10: Development of bioinformatic tools for the analysis of MACE data
Host Organizations GenXPRO (Germany)
Objectives : The ESR will be in charge of standardising pipelines that will be used for RNA-seq and MACE analyses by all the participants. He will be involved in performing next generation sequencing to characterise environmental adaptation. A single pipeline to analyse listerial transcriptomic and proteomic data will be developed and implemented by each partner for the sake of uniformity of all the data produced within List_MAPS. The ESR will be involved in the interpretation of transcriptomic and proteomic data for which pathway analyses and good data visualization will be required. A cytoscape app will be developed as visualization tool.
Expected Results: MACE analysis pipeline. Database. Transcriptome comparisons in selected habitats. Data visualization tool.
Duration (months) 24
Contact Dr. Bjorn ROTTER: rotter@genxpro.de

11. Development of innovative tools for rapid phenotypic characterisation of intraspecific diversity of Listeria monocytogenes (Joint supervision PhD)
Host Organizations BioFilm Control (France) and GenXPRO (Germany)
Objectives
1. The ESR will develop an assay to test biofilm phenotype in a large array of food processing-related environmental conditions (salt, acides, disinfectants, preservatives) in BFC facilities. He will be in charge of the development and validation of an in silico virulence assay. This assay will target specific mRNAs in order to estimate the virulence potential of strains of L. monocytogenes. Transcript targets will be selected and tested by qPCR in GXP premises. In the process of validation, virulence results of several strains collected in a humanised mouse model will be compared with the in silico analysis. Once these innovative tools will be validated, intraspecific phenotypic diversity (biofilm and virulence) will be assessed on a collection of environmental and clinical isolates of L. monocytogenes. Genotypic diversity will be assessed under the supervision of GPX.
Expected Results : Adaptation of the BioFilm Ring test R to test food processing environmental conditions. Development of an innovative in silico virulence assay surrogate to animal models. Diversity results will inform stakeholders on the level of health hazard according to the strain. This in turn will help secure food safety all along the shelf life of foodstuff.
Duration (months) 36
Contact : Dr. Thierry BERNARDI: thbe@biofilmcontrol.com
Dr. Bjorn ROTTER: rotter@genxpro.de
ELIGIBLE CRITERIA of Marie Sklokowska Curie actions:
Researchers may be of any nationality
Candidates shall at the time of recruitment by the host organization, be in the first four years (full-time equivalent research experience) of their research careers. Full-time equivalent research experience is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the co