Skip to main content
  • 1555 Accesses

Abstract

Bioinformatics is the field of science in which biology, computer science, and information technology merge to form a single discipline. More specifically the field conceptualizes biology in terms of physico-chemical aspects of molecules and then applies informatic techniques (maths, computer science and statistics) to understand and organize this information on a large-scale. The ultimate goal of the field is to enable the discovery of new biological insights as well as to create a global perspective from which unifying principles in biology can be discerned. At the beginning of the “genomic revolution”, a bioinformatics concern was the creation and maintenance of a database to store biological information, such as nucleotide and amino acid sequences. Development of this type of database involved not only design issues but the development of complex interfaces whereby researchers could both access existing data as well as submit new or revised data. Ultimately, however, all of this information must be combined to form a comprehensive picture of normal cellular activities so that researchers may study how these activities are altered in different disease stages. Therefore, the field of bioinformatics has evolved such that the most pressing task now involves the analysis and interpretation of various types of data, including nucleotide and amino acid sequences, protein domains, and protein structures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Branden, C. and Tooze, J. (1998). Introduction to protein structure. Garland Publishing Inc., New York.

    Google Scholar 

  • Carter Jr., C.W. and Sweet, R.M. (1997a). Macromolecular Crystallography, Part A. Meth. Enzymol., 276, Academic Press, San Diego.

    Google Scholar 

  • Carter Jr., C.W. and Sweet, R.M. (1997b). Macromolecular Crystallography, Part A. Meth. Enzymol. 277, Academic Press, San Diego.

    Google Scholar 

  • Chothia, C., Levitt, M. and Richardson, D. (1977). Structure of proteins: Packing of alpha helices and beta sheets. Proc. Natl. Acad. Sci. USA, 74: 4130–4134.

    Article  PubMed  CAS  Google Scholar 

  • Chothia, C. (1984). Principles that determine the structure of proteins. Ann. Rev. Biochem., 53: 537–572.

    Article  PubMed  CAS  Google Scholar 

  • Greer, J. (1991). Comparative modeling of homologous proteins. Meth. Enzymol., 202: 239–252.

    Article  PubMed  CAS  Google Scholar 

  • Johnson, M.S., Srinivasan, N., Sowdhamini, R. and Blundell, T.L. (1994). Knowledge-based protein modeling. Crit. Rev. Biochem. Mol. Biol., 29: 1–68.

    Article  PubMed  CAS  Google Scholar 

  • Lesk, A.M. (1991). Protein architecture: A practical approach. Oxford University Press, New York.

    Google Scholar 

  • McPherson, A. (2003). Introduction to Macromolecular Crystallography. John Wiley & Sons, Hoboken, NJ.

    Google Scholar 

  • Mount, D. (2004). Bioinformatics: Sequence and genome analysis. Cold Spring Harbor Laboratory Press, New York.

    Google Scholar 

  • Norvell, J.C. and Machalek, A.Z. (2000). Structural genomics programs at the US National Institute of General Medical Sciences. Nat. Struct. Mol. Biol., 7: 931.

    Article  CAS  Google Scholar 

  • Rao, S.T. and Rossman, M.G. (1973). Comparison of super-secondary structures in proteins. J. Mol. Biol., 76: 241–256.

    Article  PubMed  CAS  Google Scholar 

  • Richardson, J.S. (1981). The anatomy and taxonomy of protein structure. Adv. Prot. Chem., 34: 167–339.

    Article  CAS  Google Scholar 

  • Rossmann, M.G. and Arnold, E. (Eds.) (2006). International tables for Crystallography. Volume F: Crystallography of biological molecules. International Union of Crystallography, Chester, UK.

    Google Scholar 

  • Subramaniam, E. (2001). G.N. Ramachandran. Nat. Struct. Mol. Biol., 8: 489–491.

    Article  Google Scholar 

  • Vijayan, M., Yathindra, N. and Kolaskar, A.S. (2000). Perspectives in structural biology. Universities Press (India) Ltd., Hyderabad.

    Google Scholar 

  • Vijayan, M. (2005). Structural biology of mycobacterial proteins: The Bangalore effort. Tuberculosis (Edinb.), 85: 357–366.

    Article  CAS  Google Scholar 

  • Vijayan, M. (2007). Peanut lectin crystallography and macromolecular structural studies in India. J. Biosci., 32: 1059.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Capital Publishing Company

About this chapter

Cite this chapter

Singh, D.D. (2009). Bioinformatics—Structural Biology Interface. In: Fulekar, M.H. (eds) Bioinformatics: Applications in Life and Environmental Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8880-3_4

Download citation

Publish with us

Policies and ethics