Skip to main content

Review About Bioinformatics, Databases, Sequence Alignment, Docking, and Drug Discovery

Part of the Algorithms for Intelligent Systems book series (AIS)

Abstract

This review represents the systematic approach to recall the terms, which are used in bioinformatics, such as databases, sequence alignment, docking, and drug discovery. In recent years, the revolution of high sequencing technologies plays a tedious role in the investigation of the bioinformatics. Various analyses of docking and drug discovery were to be discussed. This information helps to know the data which are interrelated between them to precede next. It helps to get an idea to do the experiment with efficient results computationally. This paper helps to know the proper steps to lead the experiments for using various tools, and databases with examples are addressed.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-981-15-2445-5_2
  • Chapter length: 13 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   149.00
Price excludes VAT (USA)
  • ISBN: 978-981-15-2445-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   199.99
Price excludes VAT (USA)
Hardcover Book
USD   199.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

References

  1. Smith TF, Waterman MS (1991) Identification of common molecular sequences. J Mol Biol 147:195–197

    CrossRef  Google Scholar 

  2. Needleman SB, Wunsch CD (1990) A general method applicable to the search for similarities in the amino acid sequence of two proteins. J Mol Biol 48:443–453

    CrossRef  Google Scholar 

  3. Thompson JD, Higgins DG, Gibson TJ (1994) Improved sensitivity of profile searched through the use of sequence weights and gap excision. CABIOS 10:19–29

    Google Scholar 

  4. Morgenstern B (1999) Dialign, 2 improvement of the segment-to-segment approach to multiple sequence alignment. Bioinformatics 15:211–218

    CrossRef  Google Scholar 

  5. Thompson JD, Linard B, Lecompte D, Poch O (2011) A comprehensive benchmark study of multiple sequence alignment methods: current challenges and future perspectives. PLoS ONE 6:1–14

    CrossRef  Google Scholar 

  6. Lassmann T, Sonnhammer EL (2005) Kalign—an accurate and fast multiple sequence alignment algorithm. BMC Bioinf 6:298

    CrossRef  Google Scholar 

  7. Mount DW (2004) Bioinformatics: sequence and genome analysis. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY

    Google Scholar 

  8. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W et al (1997) Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 25(17):3389–3402 (PMC free article) (PubMed)

    CrossRef  Google Scholar 

  9. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215(3):403–410 (PubMed)

    CrossRef  Google Scholar 

  10. Baker EJ, Lin GN, Liu H, Kosuri R (2007) NFU-enabled FASTA: moving bioinformatics applications onto wide area networks. Biol Med 2. PMC2211279

    Google Scholar 

  11. Chen R, Li L, Weng Z (2003) ZDOCK: an initial-stage protein-docking algorithm. Proteins 52:80–87

    CrossRef  Google Scholar 

  12. Song CM, Lim SJ, Tong JC (2009) Recent advances in computer-aided drug design. Brief Bioinform 10:579–591

    CrossRef  Google Scholar 

  13. Worrell J (2006) Practical issues of conducting clinical trials in India. Drug Dev

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

Lakshmi, P., Ramyachitra, D. (2020). Review About Bioinformatics, Databases, Sequence Alignment, Docking, and Drug Discovery. In: Srinivasa, K., Siddesh, G., Manisekhar, S. (eds) Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2445-5_2

Download citation