5. BIOINFORMATICS.pptx B.Pharm sem 2 Computer Applications in Pharmacy

B.Pharm sem 2
Computer Applications in Pharmacy
Introduction, Objective of Bioinformatics, Bioinformatics
Databases, Concept of Bioinformatics, Impact of Bioinformatics in Vaccine
Discovery

1. bioinformatics Miss Vedika Narvekar M.Pharm

2. Bioinformatics It is a science of collecting and organizing biological data . It is a branch of computer science that develops various methods and software tools to understand and analyze biological data. Initially, the main emphasis of bioinformatics was creation and maintenance of database to store biological information such as nucleotide and amino acid databases. But now the scope is extended and is used for the determination of biologically significant data and its analysis. It combines the use of mathematically, statistical and computational methods to analyze various types of biological, molecular and genetic data ( DNA structures & compositions).

3. Objectives Goals To understand the living cell and its function at molecular level. Detail analysis of raw molecular sequences. Bioinformatics is necessary to understand the proper functioning of genes in human body because in later stages of pharmacy, a particular drug’s design, target selection in a disease and its mode of action is entirely based on these facts. Objectives Study normal biological process Analyze the cause of disease Design various approaches to improve biological processes Improving drug discovery techniques Helps in developing new target drugs for fatal diseases

4. Bioinformatics databases It refers to collection and compilation of data which is structured, presented and cross referenced across the globe. Examples: Genbank , Uniprot - used in biological sequence analysis InterPro , Pfam - used in finding Protein Families Sequence Read Archive- used in N ext G eneration Sequencing GenoCAD - used in design of synthetic genetic circuits PreDDICTA - calculates drug DNA interaction Sanjeevani - complete drug design software

5. Classification Biological databases are most important component of bioinformatics because, They can be accessed from any web server. Most of the databases are merged with each other so searching one is virtually the same as searching all others. It supports several input type for query sequence. Types Generalized databases: - it mainly includes data of DNA, protein, carbohydrate, 3-D structures etc. Specialized databases: - it includes data of EST(expressed sequence tag), RNA, genomes, protein families, pathways etc.

6. The database is further classified by using various parameters such as, According to Data type: Genome database, sequence database, structure, enzyme, disease database, bibliographic databases etc. Genome database : contains information of whole genome sequence of viruses, eukaryotes and prokaryotes. Sequence database : include protein and nucleotide sequence data. Structural database : comprises of biological data of 3D structure of proteins and nucleic acid. Enzyme database : deals with structure, function and pathways of various enzymes. Disease database : contains information of diseases. Bibliographic database : comprises of articles and research papers of different journals. According to maintenance status: National Centre for Biotechnology Information ( NCBI), Swiss Institute of Bioinformatics (SIB) According to Data access: this database is available publicly, with a copy right for browsing only but it cant be downloaded.

7. According to data source: Primary source database- contains original data from the researchers and mostly it is directly available for public or open access like NCBI,GENEBANK etc. Secondary source database- this database contains results from entries of primary database. It is created manually or generated automatically. According to database design: it contains Flat- files and includes Relational Database. Features of biological database: Heterogeneity in data - Database contains diverse type of biological data that can be used for various purposes. High volume data- large amount of data is collected in database such as disease database, which contains information about every disease and its aspects. Data curation- whatever information present in database is neatly assembled, managed and represented. Data sharing - the database information can be used and shared by anyone.

8. Concept of bioinformatics It refers to its approach towards balancing biology, mathematics and computer programming in order to ensure availability of tools to compute and analyze biological data in a best possible manner. It provides a deeper understanding of molecular biology, software programs, program coding and decoding, genetic data analysis and study of DNA structure and composition. Bioinformatics is getting popular because it applies knowledge from both biology and computer science and this is further used to find new techniques of biological developments for better human health. It provides a very challenging task for researchers as it usually converts biological observations into digital format or language that can be read by the computer. Biological reaction Digitalized computer readable format ------ BIOINFORMATICS

9. Impact of bioinformatics in vaccine discovery I t helps in discovery of vaccines in a more effective way and in shorter span of time. It reduces the time and cost required to develop high potency drugs with fewer side effects. Science of genomics plays a vital role in improving human health globally. If a genome sequence of a pathogen is available, a vaccine can be easily created to destroy that sequence & thus the occurrence of disease can be prevented. Genomic data are processed by variety of software programs that help identify individual genes. Designing an ideal vaccine largely depends on targeted pathogens and their interactions with existing drugs. Study of genome sequences of various pathogens along with rapid advancements in biotechnology allows to collect large amount of useful information about hosts and pathogens that play an important role in discovery of vaccines. Hence, bioinformatics has the potential to improve process of vaccine development.

10. Limitations of bioinformatics Expensive technique: The field of bioinformatics requires sophisticated laboratory of molecular biology for detail study of biomolecules and establishment of such laboratories is expensive and requires large funds. Requires skilled person: As these tools are computer based the study of cellular processes using these tools requires specialized software. Thus special training is compulsory. Requires timely maintenance: The maintenance and up keeping of molecular laboratories involves lot of expenditure which becomes a limiting factor. T hreat of viruses: S everal problems such as deletion of important data and corruption of programmes . Uninterrupted electricity: There should be uninterrupted power supply for computer aided biological investigations as interruption of power supply may sometimes lead to loss of huge data from the computer memory.

11. Computers as data analysis in preclinical development

12. introduction Pre-clinical development It mainly includes the testing of a prospective drug on experimental animals to determine its safety and dose that can be further used in humans. Before a ny drug is tested on humans, a lot of experiments are conducted on animals to ensure that the drug is safe for human use. All the data related to drug and its existence, use, safety, dosage, FDA approval etc. are considered before the launch of any product in the market. This crucial information is entered and stored in computers that can be further analyzed as and when required by scientists, pharmacists, physicians and other healthcare professionals.

13. Role of computers in pre-clinical development Acts as a storehouse of drug information Aids in study of toxicological and risk assessment Helps to develop predictive models for better decisions Makes pharmaceutical development more efficient Ensures collection and management of clinical data Aids in better medical decision making