Book Online Tickets for International Conference on Computationa, Bhubaneswa. About ICCBBI 2011:
In spite of fast growing burgeoning research activity on computational biosciences and bioinformatics, the basic problems in the field still remain unsolved. For example, it is largely unknown how naturally evolved proteins fold t

International Conference on Computational Biosciences and Bio-Informatics(ICCBBI 2011)


About The Event

About ICCBBI 2011:

In spite of fast growing burgeoning research activity on computational biosciences and bioinformatics, the basic problems in the field still remain unsolved. For example, it is largely unknown how naturally evolved proteins fold their 3-D structure with such functions involving protein-ligand interfaces, molecular signaling, binding efficiencies or protein - DNA interactions. The limitations of theoretical biology are real and serious but we can examine or interrogate gene function and protein structure in relation to the environment and available data, thus we can infer the interactive context, structural and functional information as a true collective personalized biomedicine that acts synergistically with all information that are centered on a particular type of disease on an individual human or patient. The impact of having the human sequence and personalized digital images in hand has created tremendous demands of developing powerful supercomputing, statistical learning and artificial intelligence approaches to handle the massive bioinformatics and personalized healthcare data which will obviously have a profound effect on how biomedical research will be conducted toward the improvement of human health and prolonging human life in the future. 

In the fields of computational biosciences, bioinformatics, and bioengineering, scientists regularly approach important biological and medical problems by using a common set of intelligent methods, such as computational data mining, evolutionary computation, pattern recognition, knowledge representation, databases, combinatorics, stochastic modeling, linguistic methods, robotics, string and graph algorithms, constraint satisfaction, and parallel computation. With such a plethora of intelligent methods, it is essential to provide a platform to bring these scientists together to discuss scientific issues in this fast growing field. 

ICCBBI aims to fill this need. The mission of ICCBBI is to facilitate the multidisciplinary development of intelligent methods and to empower creative scientists in these fields to solve biological and medical problems. The objectives of ICCBBI are to develop, promote and coordinate the development and practice of bioinformatics and computational biology. ICCBBI aims to help professionals working in the field, academic educators and policy-makers to contribute, to disseminate knowledge, and to learn from each other's work. The international dimension is emphasised in order to overcome cultural and national barriers and to meet the needs of accelerating technological change and changes in the global economy. ICCBBI is an outstanding outlet that can shape a significant body of research in the field of computational biosciences and bioinformatics and in which results can be shared across researchers. 

Although the possible set of paper topics is large and we encourage submission on any area within the scope of computational biosciences and bioinformatics, the following areas are particularly suitable (but not exhaustive):

  • Biomolecular dynamics
  • Protein docking
  • Ligand–receptor interactions
  • High-throughput drug screening
  • Drug discovery
  • Drug design
  • Biomolecular and phylogenetic databases
  • Biolanguages, interoperability in biodatabases, bioontology and data mining
  • Identification and classification of genes
  • Sequence search and alignment
  • Protein structure prediction and molecular simulation
  • Molecular evolution and phylogeny
  • Functional genomics
  • Proteomics
  • Gene expression analysis
  • Bioinformatics engineering
  • Biodata visualisation
  • Systems biology
  • Algorithms, modelling and simulation of biosets
  • Biomarkers of toxicity
  • Cellular signalling and communications
  • Biological systems and models
  • Engineering models in biomedicine
  • Monte Carlo simulation
  • Biological modelling
  • Cell engineering
  • Molecular and cellular systems
  • Body and cell biosignatures
  • Biomarkers
  • Microarray technologies
  • Biomedical data engineering
  • Bioinformatic databases
  • Bio-grid
  • Biomedical image processing (segmentation, registration, fusion)
  • Biomedical modelling and computer simulation
  • Bio-ontology and data mining
  • Computational genomics
  • Computational intelligence
  • Computational proteomics
  • Computational structural biology
  • Data visualisation
  • DNA assembly, clustering, and mapping
  • E-health
  • Fuzzy logic
  • Gene expression and microarrays
  • Gene identification and annotation
  • Genetic algorithms
  • Hidden Markov models
  • High performance computing
  • In silico technology
  • Machine learning
  • Molecular evolution and phylogeny
  • Molecular modelling and simulation
  • Molecular sequence analysis
  • Neural networks
  • Parallel algorithms for biological analysis
  • Parallel architectures for biological applications
  • Phylogeny reconstruction algorithms
  • Physiome
  • Protein structure prediction
  • Sequence assembly
  • Sequence search and alignment
  • Signalling and computation biomedical data engineering
  • Simulated annealing
  • Statistical analysis
  • Stochastic grammars
  • Support vector machines
  • System biology
  • Telemedicine

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