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12th International Conference on Advancements in Bioinformatics and Drug D...

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About the Conference

The success of 9th International Conference on Bioinformatics has boosted up for another conference. Thus we welcome you to the most exciting event on Adv.Bioinformatics and Drug Discovery to Dublin, Ireland.

Title: 12th International Conference on Advancements in Bioinformatics and Drug Discovery
Date: November 26-27, 2018
Venue: Dublin, Ireland.

Theme: Get into the interdisciplinary field with cutting-edge novelties

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Henceforth, we comfy you all to be a part of this impressive event to add your novel research concepts.

Importance and Scope:

The European Union (EU) is a prevalent hub for advanced research in Bioinformatics. This can be endorsed to the major government funding at both the National and International level from individual EU agencies. The Global Bioinformatics Market is estimated to gain USD 4,285.1 million by 2020 growing at a CAGR of 21.1%. Steady increase in the usage & application of bioinformatics for R&D programs designed for sequencing genomes to better understand biological systems and developing clinical studies in pharmacogenomics and pharmacokinetics for novel drug discovery studies are expected to drive demand for bioinformatics over the next six years. The presence of increasing market appeal for genetic database management, and demand for related sequence, structural and phylogenic analysis tools and software is the dominant factor accounting for this large share in Bioinformatics to catalogue strong progress in the coming years.

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Target Audience:

This event will provide platform for business delegates, B2B meetings, poster presentations, workshops, symposia, networking and more. It will offer a platform wherein you can ensure enormous exposure and networking by exhibiting products and services.

  • Directors of Bioinformatics and Drug Discovery or related Programs or Associations
  • Heads, Deans and Professors of Bioinformatics and Drug Discovery departments
  • Bioinformaticians, Bioinformatics researchers, Pharmaceutical Companies
  • Proteomicists, Physicians, Medical Informaticians
  • Doctors
  • Business Professionals
  • Scientists and Researcher organizers
  • Research Scholar
  • Lab Technicians
  • Healthcare professionals
  • Founders and Employees of the related companies
  • Clinical investigators & Researcher
  • Hospitals and Health Services
  • Pharmaceutical companies
  • Laboratory members
  • Training institutions
  • Support organizers
  • Bioinformatics, Biomedical Informatics and Drug Discovery training and education
  • Biomedical Research organizations, societies and associations
  • Medical Informatics Research Organizations, societies and associations
  • Proteomics Organizations, societies and associations
  • Genetics societies and associations and so on…


Sessions/ Tracks:

Adv.Bioinformatics 2018 would like to take this wonderful opportunity to welcome everyone interested in Bioinformatics to “12th International Conference on Advancements in Bioinformatics and Drug Discvoery” that is scheduled at Dublin, Ireland during November 26-27, 2018.

The theme of the conference is “Get into the interdisciplinary field with cutting-edge novelties.

The conference focuses on foremost topics such as Bioinformatics, Drug Discovery, Computational Biology, Genomics & Proteomics, Biomedical & Health Informatics, Epitranscriptomics, Theoretical Biology & Bioinformatics, Pan Genomics, Biodiversity informatics, DNA Punctuation, Moonlighting Proteins, Systems Biology, Immunology and Genetics, Algorithms & Databases, Biomedical engineering & Imaging, Biostatistics, Structural & Evolutionary Bioinformatics and Clinical Case Reports.

The conference Adv.Bioinformatics 2018 is a specially designed bundle meeting that involves an ample range of critically significant sessions. It would lay a platform for the interaction between experts all over the world and intends in advancing the scientific discoveries.

Adv.Bioinformatics Conference has a strong prominence on support and inspiration for the succeeding cohort of scientists, along with early-career researchers, a Young Researchers Forum, and accomplishments to boost dealings with peers and experts. Altogether the Congress aims to be an exemplary cross-discipline congregation in Biomedical Informatics in Medical and life sciences for research presentation, discussion, learning, inspiration and encouragement with participants leaving with new explorations and concepts, and conceivably the beginnings of International collaborations and friendships.

Track 1: Bioinformatics

Bioinformatics, an amalgam science that associates biological data with techniques for information storage, distribution, and analysis to support compound areas of scientific research, comprising biomedicine. It is nurtured by high-throughput data-generating experiments, including genomic sequence.

Progress of effective algorithms for measuring sequence likeness is an important objective of bioinformatics. Thus is used to predict interfaces between proteins, given individual structures of the partners known as “docking problem.”

Nevertheless, the ends of bioinformatics are integrative and are aimed at presuming out how combinations of diverse types of data can be used to apprehend natural phenomena, including organisms and disease.

Track 2: Drug Discovery

It is obsessed by science yet progressively guided by pharmacology and the clinical Sciences, sedate look into have contributed more to the encroachment of drug discovery the previous century than some other logical factor. Augmenting the art of medication advancement and order is critical in satisfying the general wellbeing. The coming of atomic science and, specifically, of genomic sciences is deeply affecting medication disclosure. Accentuation is set on the complexity between the scholastic and modern research working situations, which can impact the viability of research coordinated effort between the two groups, however which assumes such a vital part in drug development.

A branch of chemistry that utilizations computer aided drug design to help with taking care of compound issues is Computational chemistry. It utilizes strategies for theoretical chemistry, consolidated into effective computer aided drug design programs, to figure the structures and properties of atoms and solids. Computational chemistry is a branch of chemistry that utilizations computer aided drug design to help with taking care of compound issues. It utilizes strategies for theoretical chemistry, consolidated into effective computer aided drug design programs, to figure the structures and properties of atoms and solids.

Pharmacokinetic properties of chemicals are affected by the route of administration and the dose of administered drug. These may affect the absorption rate.

Track 3: Epitranscriptomics

The structure of central dogma of molecular biology and innovation of classes of non-coding RNAs expose biological pathways concerned in disease. Study of posttranscriptional changes with vigour in both protein-coding and non-coding RNAs reveals a new complexity in gene regulation. Thus leading to 'Epitranscriptomics'.

To identify and describe RNA modifications and to recollect lab techniques combined with high-throughput sequencing technology and computational methods.

Organised with bioinformatics approaches and wet lab methodologies which support in the discovery of novel RNA modifications and description of their biological functions and identification of the molecular protagonists involved in the regulation of such phenomena which in turn provides a great impact in addressing the vulnerable questions and trials of this pioneering field.

Track 4: Computational Biology

Computational biology are interconnected disciplines allowing computational methods to analyse biological data and develop algorithms and analytical methods by acquiring knowledge from various disciplines like computer science, physics, statistics etc. This field is gaining importance in various research fields like Neural Networks, Artificial Intelligence for developing algorithms. It is used in developing bioinformatics software and tools for drug designing, molecular simulations, drug discovery, molecular modelling and numerous biological databases. Subfields related to this topic are computational immunology, computational pharmacology, computational neuroscience, computational cancer biology etc.

Track 5: Systems Biology in Bioinformatics

Systems biology includes the study of systems of biological components, which may be molecules, cells, organisms or entire species. Systems Biology deals with data and models at many different scales, from individual molecules through to whole organisms. Computational systems biology addresses questions fundamental to our understanding of life and progress here will lead to practical innovations in medicine, drug discovery and engineering. It aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. Systems Biology approach harnesses the power of computation and systems-level analyses to formulate and solve critical biological problems. This integrative approach of systems biology will close the loop from individual genetics to populations, and constitute the strongest asset for the successful translation of systems biology findings to clinical applications.

Track 6: Theoretical Biology & Bioinformatics:

Biological systems are intricate systems made of many spatially circulated building blocks. Accepting the evolution, dynamics and emergent behavior of composite biological systems involves a systems biology approach, relating quantitative biology, mathematical modelling, computer simulation and bioinformatics.

Molecular biology is generating information on the molecular properties of cells and organisms at an incredible pace. Bioinformatics is obviously needed for the storage and primary analysis of these huge volumes of biomolecular data.

Theoretical Biology & Bioinformatics practices computational methods to report biological questions within their own biological focus area. It covers a range of biological areas, including immunology, evolutionary genomics, evolutionary development, bacterial evolution, and multi-level evolution. Some use bioinformatics, whereas others use modeling and quantitative biology, or evolutionary agent based modeling.

Track 7: Pan Genomics:

Pan Genome is the full supplement of genes in a clad/species. The importance of the pan-genome turns up in an evolutionary framework, especially with relevance to Metagenomics, but is also used in an extensive genomics framework. The Pan Genome considers the aspects of the “core genome” which represents in all the strains, “dispensable genome” also present in two or more strains and “unique genome” specified to single strains. The two types of Pan Genomes are Closed Pan Genome which has insufficient genes added per additional sequenced genome whereas Open pan Genome have sufficient genes added per additional sequenced genome.

Track 8: Genomics & Proteomics

Proteomics is a branch of molecular biology that is concerned with the systematic, high-throughput approach to protein expression investigation of an organism or a cell. It is a large-scale comprehensive study of a specific proteome, including information on protein affluence, their variations and alterations, along with their interacting partners and networks, in order to discern cellular processes. Proteomics enables the understanding the structure, function and interactions of the entire protein content in a specific organism. Bioinformatics for proteomics has grown significantly in the recent years.

Genomics includes the study of genomes, particularly the set of techniques, analytical methods, and scientific questions related to the study of complete genomes. Scientists have progressed from the analysis of a small number of genes to the analysis of thousands of genes, from the study of the units of inheritance to the whole genome of an organism. Genomics straps the availability of complete DNA sequences for entire organisms by the latest next-generation sequencing technology.

Genomics and bioinformatics are now poised to revolutionize the healthcare system by developing customized and personalized medicine.

Track 9: Biodiversity informatics:

Presentation of informatics to Biodiversity is to progress management, performance, innovation, analysis and investigation. It is a new discipline with hundreds of experts worldwide involved with the design and edifice of biology information system. It is made on the basis of taxonomic, biogeographic and ecological information stockpiled in digital form using current computer techniques to yield novel ways to view and evaluate existing information. Biodiversity informatics though diverse but interrelated to Bioinformatics. Biodiversity informatics may also have to manage with supervision information from unidentified taxa that is produced by environmental sampling and sequencing of mixed-field samples. It is also used to cover the computational problems particular to the names of biological objects, such as the development of algorithms to handle species names and establishments as well as the syntax and semantics by which the content in taxonomic databases can be made machine query able and interoperable for biodiversity informatics resolutions.

Track 10: DNA Punctuation

Experiments to confirm functional roles based on the actual formation of a particular structure are quite laborious and have not yet reached the level of high throughput technology. Thus, computational prediction remains the major tool to reveal genomic DNA regions with the potential to adopt non-B DNA structures. Here we launch a project with the aim to map DNA secondary structures in various genomes from bacteria to human, and assign them a potential probabilistic function based on the methods of comparative genomics, statistics, and machine learning. The computationally predicted DNA secondary structure maps could serve as a roadmap for experimentalists to target specific genomic regions while testing their hypotheses. The project will require both development of bioinformatics algorithms and experimental techniques to facilitate progress in this field.

Track 11: Biomedical & Health Informatics

Healthcare Informatics is the application of information technology and informatics to provide healthcare services. It is concerned with the use of information in health care by clinicians. Biomedical informatics (BMI) is the interdisciplinary, scientific arena that educates and follows the effective customs of biomedical data, information, and information for precise survey, problem elucidating and resolution constructing, motivated by exertions to progress social health.

Molecular Medicine strives to advocate the understanding of normal body functioning and disease pathogenesis at molecular level. Bioelectronic Medicine is the merging of molecular medicine, neuroscience and bioengineering to develop therapies. Clinical research leads to generation of high-quality, statistically sound and reliable data from clinical trials maintained in Clinical Databases. Bioinformatics tools are profitable in Medical Research helps in the comparison of genetic and genomic data and understanding of various molecules that are amenable for the disease helps to analyze and document the biological systems and pathways. The analytical capability of bioinformatics podium united with clinical data from patient in Electronic Medical Reports can affirm potential biomarkers and clinical phenotypes that allow researchers to develop experimental strategies using selected patient.

Track 12: Structural & Evolutionary Bioinformatics

Evolutionary Bioinformatics is an advanced discipline that addresses the practice of data processing and the engineering of data for the investigation of biological evolution. Amassing of information at the huge scale has turned out to be progressively cost-efficient through latest advances in high-throughput genotyping and sequencing innovations. It sees genomes as medium for conveying different types of data through the generations from the past to present. The study of evolutionary biology uncovers that living beings of different types which were previously oblivious originated over the span of numerous eras mostly through moderate and progressive alterations.

Structural bioinformatics is a sub discipline of bioinformatics that deals with the three dimensional structures of biomolecules. This field portrays the goals to create methods for manipulating information about biological macromolecules and the application of these methods to solve problems in biology and creating new knowledge. It attempts to model and discover the basic principles underlying biological machinery at the molecular level. Structural bioinformatics combines applications of physical and chemical principles with algorithms from computational science. With the success of the genome sequencing projects, the evolution of high-throughput methods for expression analysis and compound identification, structural bioinformatics is now resurgent and is doing its part to accelerate the drug discovery process. The techniques that structural bioinformatics involves are particularly valuable in the area from target identification to lead discovery. Structural bioinformatics can be used for function and ligand prediction in the case of novel targets.

Track 13: Moonlighting Proteins

Moonlighting proteins are single polypeptide chains with proteins that perform numerous biochemical functions which are not due to gene fusion events. For example, some cytosolic enzymes

Moonlight acts as transcription factors, crystallins, chaperones, extracellular growth factors and cell surface adhesins. Variability of identified moonlight proteins where one protein will have several functions, the potential profits to the organism of linking two utilities in one protein, and the approaches recommended for a protein to develop a second function recommend that moonlighting proteins might be common.

The ability of a protein to moonlight in diverse pathways can confuse the evaluation of protein role from sequence or structure and the footnote of sequence databases. To date, most moonlighting utilities have been found by accident. Currently there is no candid technique to identify a moonlighting protein and sequence homologues of moonlighting proteins do not accomplish both purposes.

The research topics include many aspects of moonlighting proteins for examples proteins to moonlight, structures of moonlighting proteins, their protagonists in diseases, how they evolved, moonlighting proteins and proteomics, bioinformatics of moonlighting proteins, etc.

Track 14: Bioinformatics Algorithms & Databases

Practically about 600 bioinformatics tools were advanced over the past two years, and are being used to facilitate data analysis and its interpretation. Web assistance in bioinformatics provides interfaces that have been developed for an ample array of applications for bioinformatics. The main enhancement derived from the fact that end users do not have to deal with software and database preservation overheads. There are differing software predominant for bioinformatics like open-source, sequence alignment, healthcare, freeware molecular graphics systems, biomedical and molecular mechanics modelling. In more recent advances, the equivalent of an industrial revolution for ontology was pronounced by the apparition of latest technologies representing bio-ontologies.

Track 15: Immunology and Genetics

Immunology involves the development and application of methods of bioinformatics, mathematics and statistics for the study of immune system biology. Through drug discovery mechanism new drugs can be discovered and designed and the causes of the diseases can be analyzed and ways could be found to tackle them. The modern drug discovery process integrates the understanding of the molecular basis for a disease with crucial understanding of how potential drug molecules interact with particular disease targets and the whole organism. Bioinformatics is a growing field which can explore the causes of diseases at the molecular level, explain the occurrence of the diseases from the genetic angle and make use of computer techniques to diminish the scope of study and enhance the efficiency of the results so as to curtail the cost and time.

Genetics allows us to understand normal events such as development, growth and ageing in terms of the underlying molecular machinery of the cell. Genetics and Immunology, aiming to instil a broad base of knowledge at molecular, cellular and organismal levels. The study in immunology and genetics will help you understand why susceptibility to infectious disease differs between individuals. Identification of genes defining the immune defects may identify new target genes for therapeutic approaches. Alternatively, genetic variations can also help to define the immunological pathway leading to disease.

Track 16: Biomedical Engineering & Imaging

Biomedical Engineering major emphasizes systems engineering and model-based approaches to interpreting, integrating, and using bioinformatics data and trains in molecular biology, systems engineering investigation, and mathematical and computer sciences. Whereas Bioinformatics addresses the flow of genetic, metabolic and regulatory information in living systems to understand the properties of cell and organism. The range of Bioinformatics extents the study of molecular data to quantify clinical, imaging and diagnostic data for custom-built medicine and healthcare. With rapid developments in gene therapy, genetic engineering, gene editing and drug discovery, the field of Bioinformatics provides a varied range of opportunities and career paths for engineers.

Biomedical Imaging is a long tactic to visualize biological tissues to improve health of the individual. It includes the development and presentation of new instruments and techniques in magnetic resonance imaging, ultrasound, computed tomography, positron emission tomography and optical imaging. It practices much more complex algorithms.

Track 17: Biostatistics - An Approach to Bioinformatics

Biostatistics is a branch of applied statistics and deals with developing and applying techniques to summarize and evaluate medical and biological data. The field of biostatistics to bioinformatics furnish quantitative answers to complicated questions from complicated data. The dominant objective of this conference is to conceive a medium for statisticians from across the world to present their latest study, discovery in statistical applications which can prompt novel research projects and directions as well as improve statistical programs. Specialized and technical methods have been made and are currently advancing in the fields of biostatistics and bioinformatics as a mutual resource to exhibit them with a wide range of favourable applications in genetics, genomics, and biomedical areas. The doctrine of biostatistics and bioinformatics will be popularized through driving applications which offers learning approach and therefore, is available to a wide range of fields.


Manuel Gea

Manuel Gea

Bio-Modeling Systems, France France

K. Venkateswara Swamy,

K. Venkateswara Swamy,

Dr. D Y Patil Biotechnology and Bioinformatics Institute, India India

Dharmendra K Yadav

Dharmendra K Yadav

Gachon University, South Korea South Korea

Mari van Reenen

Mari van Reenen

North-West University, South Africa South Africa

Sherief El-Rweney

Sherief El-Rweney

Royal Holloway university of London, UK UK



Gachon University, South Korea South Korea

Alan J. Tackett

Alan J. Tackett

University of Arkansas for Medical Sciences, USA USA

Alex Bayes

Alex Bayes

Biomedical Research Institute Sant Pau, Spain Spain

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