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12th International Conference on Advancements in Bioinformatics and Drug Discovery, will be organized around the theme “New Assessments and tools in Bioinformatics ”

Adv.Bioinformatics 2018 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Adv.Bioinformatics 2018

Submit your abstract to any of the mentioned tracks.

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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 1-1Mathematical Techniques
  • Track 1-2Sequencing and bioinformatic analysis of genomes
  • Track 1-3Translational Medicine
  • Track 1-4Gene Oncology
  • Track 1-5Protein Modeling
  • Track 1-6Epigenomic data analysis
  • Track 1-7Computational Neuroscience
  • Track 1-8Genome Mapping

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 2-1Pharmacogenetics in Drug Discovery and Development
  • Track 2-2Advancing Drug Discovery
  • Track 2-3Accelerated Drug Discovery Perspectives
  • Track 2-4Chronic diseases
  • Track 2-5Pharmaceutical Industry Perspective

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'. 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 3-1RNA methylation
  • Track 3-2Psuedourylation
  • Track 3-3Gene Ontology
  • Track 3-4RNA editing
  • Track 3-5Identifying Novel Biochemical Pathways

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. Bioinformatics and 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.

Metabolomics is outlined as the ample analysis of metabolites in a biological specimen, thus is an embryonic technology that holds potential to inform the drill of precision medicine. The objective of precision medicine is to design disease prevention and clinical care approaches taking into depiction individual variability in environment, lifestyle, genetics, and molecular phenotype. Metabolomics presents a significant analytical confront because, unlike genomic and proteomic methods, it aims to measure molecules that have disparate physical properties.


  • Track 4-1Data mining and Machine Learning
  • Track 4-2Artificial Intelligence
  • Track 4-3Neural Networks
  • Track 4-4Clinical Metabolomics
  • Track 4-5Metabolomics & Pharmacology
  • Track 4-6Chromatography
  • Track 4-7Metabolic Modelling
  • Track 4-8Mass spectrography

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. Systems Biology deals with data and models at many different scales, from individual molecules through to whole organisms. 

  • Track 5-1Cancer Systems Biology
  • Track 5-2Systems theory for complex dynamical systems
  • Track 5-3Genetics

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. Bioinformatics is obviously needed for the storage and primary analysis of these huge volumes of biomolecular data. 

  • Track 6-1Evolutionary Genomics
  • Track 6-2Integrative Bioinformatics
  • Track 6-3Sequencing, Protein sequence and structure analysis
  • Track 6-4Phylogeny and comparative genomics

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 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 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 7-1Evolutionary Biology
  • Track 7-2Genomics
  • Track 7-3Phylogenetic

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 8-1Functional & comparative genomics
  • Track 8-2Computational genomics
  • Track 8-3Clinical proteomics
  • Track 8-4Proteome informatics
  • Track 8-5Proteogenomics
  • Track 8-6Clinical & medical genomics
  • Track 8-7Protein chip analysis

Biodiversity informatics though diverse but interrelated to Bioinformatics. It is a new discipline with hundreds of experts worldwide involved with the design and edifice of biology information system. 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 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. 

  • Track 9-1Systematic and Evolutionary Biology
  • Track 9-2Tools for Data Integration
  • Track 9-3Approaches to Mapping Biodiversity

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. Thus, computational prediction remains the major tool to reveal genomic DNA regions with the potential to adopt non-B DNA structures. 

  • Track 10-1Ribozymes
  • Track 10-2RNA world
  • Track 10-3Non-B DNA
  • Track 10-4DNA secondary structures

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. 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. 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 11-1Biomarkers
  • Track 11-2Biomedicine
  • Track 11-3Medical Informatics
  • Track 11-4Sensor Informatics

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. Evolutionary Bioinformatics is an advanced discipline that addresses the practice of data processing and the engineering of data for the investigation of biological evolution. 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.

  • Track 12-1Evolution, taxonomy and systematics
  • Track 12-2Population genetics
  • Track 12-3Protein structure and function prediction
  • Track 12-4RNA structure and function

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 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 13-1Novel Mechanisms of Protein Function
  • Track 13-2Predicting Protein Functions
  • Track 13-3Cytosolic enzymes

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.

  • Track 14-1Web services in bioinformatics
  • Track 14-2Bioinformatics tools & software
  • Track 14-3Biological databases


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 15-1Clinical genetics
  • Track 15-2Molecular genetics
  • Track 15-3Cytogenetics
  • Track 15-4Metabolic/biochemical genetics
  • Track 15-5Mitochondrial genetics
  • Track 15-6Innovative methods and techniques in immunology
  • Track 15-7Immune cells & proteins
  • Track 15-8Clinical biomarkers

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. 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. 

  • Track 16-1Independent Component analysis
  • Track 16-2Neural networks
  • Track 16-3Imaging Informatics
  • Track 16-4Bioengineering Approaches

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.

  • Track 17-1Computational statistics
  • Track 17-2Bayesian methods
  • Track 17-3Statistical genetics
  • Track 17-4Medical statistics and informatics

Case reports provide detailed information of the symptoms, diagnosis, signs, treatment, and effect of an individual patient. It contains a demographic report of the patient, but usually portrays an unusual or new instance. A favourable case report gives a clear perception about the gravity of the observation being reported. Clinical case reports are compelling source of evidence in the field of medicine and is aimed to improve global health and concise about a common or critical clinical scenario and develop a broader search for evidence. 

  • Track 18-1Cystic fibrosis case reports
  • Track 18-2Alzheimer case reports
  • Track 18-3Cancer case reports

Protein bioinformatics focuses on understanding the sequence-structure-function relationship of proteins using the techniques in bioinformatics, biophysics and computational biology.  It explains all aspects of proteins including sequence and structure analysis, prediction of protein structures, protein folding, protein stability, and protein interactions.

With the advent of statistical techniques to infer protein contacts from multiple sequence alignments (which you can read more about here), accurate protein structure prediction in the absence of a template has become possible.

  • Track 19-1Structural classification of proteins
  • Track 19-2Stability of thermophilic proteins
  • Track 19-3Protein 3D Structure
  • Track 19-4Protein docking
  • Track 19-5 Protein network analysis
  • Track 19-6Protein function prediction

It is the invention of combination of clinical informatics, bioinformatics, medical informatics, information technology, and Mathematics together. It furthermore aids in selecting the suitable tool to analyse the data obtained from microarray techniques for clinical justification.

It shows a vital role in a number of clinical applications which include metabolic and signaling pathways, biomarker discovery and development, omics technology, computational biology,  Pharmacomics, Transcriptomics, proteomics, Metabolomics, genomics, high-throughput image analysis, mathematical medicine and biology, protein expression, profiling and systems biology, human molecular genetics, human tissue bank.

  • Track 20-1Biomarker discovery
  • Track 20-2Imaging and Therapies
  • Track 20-3Biochemical analysis
  • Track 20-4Human Molecular Genetics
  • Track 20-5Human Tissue Bank
  • Track 20-6Mathematical Medicine

Target approach of this area is on chemical-biological interaction and experimental effort of chemical and biological interactors by cheminformatics and chemometrics methods.  A criterion for this will be the successful integration of bioinformatics into most aspects of drug discovery. Some of the methodologies include proteochemometrics, computer-aided molecular design, chembioinformatics databases, biopharmaceutical chemistry including analyses of biological activity, algorithms for chemical software and other issues related to drug discovery.

Focus of this area is on how to use bioinformatics tools in drug discovery. The forthcoming progresses of the life science areas will also rely heavily on learning such knowledge. Still all the advanced frontiers in the medical, biological and medicinal chemistry arenas will need good acquaintance here in order to withstand evolution.


  • Track 21-1Chemoinformatics
  • Track 21-2Proteochemometric
  • Track 21-3Chembioinformatics
  • Track 21-4Computer-aided molecular design
  • Track 21-5Application of Bioinformatics in Drug Designing