SCOPE
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The success of Bioinformatics in recent years has been prompted by research in Molecular Biology and Molecular Medicine in several initiatives. These initiatives gave rise to an exponential increase in the volume and diversification of data, including nucleotide and protein sequences and annotations, high-throughput experimental data, biomedical literature, among many others.

Systems Biology is a related research area that has been replacing the reductionist view that dominated Biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modeling, computer simulation and optimization.

The accumulation and exploitation of large-scale data bases prompts for new computational technology and for research into these issues. In this context, many widely successful computational models and tools used by biologists in these initiatives, such as clustering and classification methods for gene expression data, are based on Computer Science/ Artificial Intelligence (CS/AI) techniques. In fact, these methods have been helping in tasks related to knowledge discovery, modeling and optimization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be predicted.

The 19th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB'25) aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, Bioinformatics, Chemoinformatics and Systems Biology.
Brand new ideas in these fields are sought, as well as substantial and relevant revisions and actualizations of previously presented work, project summaries and PhD thesis presented or not.

info@pacbb.net





TOPICS
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PACBB welcomes contributions reporting substantial, original and previously unpublished work in all areas of Bioinformatics, Chemoinformatics and Systems Biology. The papers can be presented from a formal, methodological, technical or applied point of view.

Biological areas of interest include, but are not limited to:

Next generation sequencing
Comparison and alignment methods
Motif, gene and signal recognition
Molecular evolution
DNA twisting and folding
High-throughput data analysis (transcriptomics, proteomics, etc)
Phylogenetics and phylogenomics
Determination or prediction of the structure of RNA and proteins
Gene expression data analysis
Identification of metabolic pathways
Functional genomics
Biomarker identification
Computational problems in genetics such as linkage and QTL analysis, linkage disequilibrium analysis in populations, haplotype determination, SNPs
Molecular docking and drug design
Molecular and cellular interactions
Emergence of properties in complex biological systems
Visualization of biological systems and networks
Data and software integration
Biomedical ontologies
In silico optimization of biological systems
Metabolic engineering applications
Cell simulation and modeling
Metabolic, regulatory and signaling models/ networks: properties, dynamics, inference/ reconstruction
Metabolomics/ metabolic fingerprints
Health-care applications
Bio imaging




PLENARY SPEAKERS
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Dirk Helbing, ETH ZurichSwiss (Switzerland)

Pascale Fung, Senior Director of AI Research, Meta-FAIRHong Kong





COMMITTEE
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Program Committee Chairs

Miguel Rocha, University of Minho (Portugal)

Sara Cuadrado, Icahn School of Medicine, Mount Sinai (USA)



Steering committee chairs

Florentino Fdez-Riverola, University of Vigo (Spain)

Mohd Saberi Mohamad, United Arab Emirates University (United Arab Emirates)



Advisory board

Ana Belén Gil-González, University of Salamanca (Spain)

Gabriella Panuccio, Istituto Italiano di Tecnologia (Italy)



Organizing committee

Philippe Mathieu, University of Lille (France)

Anne-Cécile Caron, University of Lille (France)

Antoine Nongaillard, University of Lille (France)

Jarod Vanderlynden, University of Lille (France)

Jules Bompard, University of Lille (France)

Erwan Martin, University of Lille (France)





DOCTORAL CONSORTIUM
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The aim of the Doctoral Consortium is to provide a framework as part of which students can present their ongoing research work and meet other students and researchers and obtain feedback on lines of research for the future.

The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who are still far from completing their dissertation.

All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with the aim of providing detailed and constructive feedback. The accepted submissions will be presented at the Doctoral Consortium and published in the conference proceedings.




PUBLICATION
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Accepted papers will be included in PACBB Proceedings, published by Springer.

At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. All the accepted papers will be published by Lecture Notes in Networks and Systems series of Springer Verlag.


** Indexing: The books of this series are submitted to DBLP, INSPEC, Norwegian Register for Scientific Journals and Series, SCImago, SCOPUS, WTI Frankfurt eG, zbMATH, Google Scholar, Springerlink. **




IMPORTANT DATES
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Deadline: 7th March, 2025

Doctoral Consortium deadline: 21st March, 2025

Notification of acceptance: 25th April, 2025

Camera-Ready papers: 9th May, 2025

Conference Celebration: 25th-27th June, 2025




ORGANIZING COMMITTEE
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University of Lille (France)




SCIENTIFIC ORGANIZERS
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University of Minho (Portugal)

Icahn School of Medicine, Mount Sinai (USA)

University of Vigo (Spain)

United Arab Emirates University (United Arab Emirates)

University of Salamanca (Spain)

Istituto Italiano di Tecnologia (Italy)