1) Bioinformatics for venom and toxin sciences.

Tan PT, Khan AM, Brusic V.
Brief Bioinform. 2003 Mar;4(1):53-62. Review.
PUBMED PMID: 12715834
Out link: Full-text
Impact Factor Year 2009: 7.329
No. of Citations: 19 (total): 10 (non-self) & 9 (self)

ABSTRACT :

Venomous animals produce a myriad of important pharmacological components. The individual components, or venoms (toxins), are used in ion channel and receptor studies, drug discovery, and formulation of insecticides. The toxin data are scattered across public databases which provide sequence and structural descriptions, but very limited functional annotation. The exponential growth of newly identified toxin data has created a need for better data management. Venominformatics is a systematic bioinformatics approach in which classified, consolidated and cleaned venom data are stored into repositories and integrated with advanced bioinformatics tools for the analysis of structure and function of toxins. Venominformatics complements experimental studies and helps reduce the number of essential experiments.

This article has been cited by other articles:

1) Kini RM. Excitement ahead: structure, function and mechanism of snake venom phospholipase A2 enzymes. Toxicon. 2003 Dec 15;42(8):827-40. Review. PMID: 15019485

2) Lenffer J, Lai P, El Mejaber W, Khan AM, Koh JL, Tan PT, Seah SH, Brusic V. CysView: protein classification based on cysteine pairing patterns. Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W350-5. PMID: 15215409

3) Siew JP, Khan AM, Tan PT, Koh JL, Seah SH, Koo CY, Chai SC, Armugam A, Brusic V, Jeyaseelan K. Systematic analysis of snake neurotoxins' functional classification using a data warehousing approach. Bioinformatics. 2004 Dec 12;20(18):3466-80. Epub 2004 Jul 22. PMID: 15271784

4) Koh JLY, Krishnan SPT, Seah SH, Tan PT, Khan AM, Lee ML, Brusic V. BioWare: A framework for bioinformatics data retrieval, annotation and publishing. 27th Annual International ACM SIGIR Conference on Research and Development in IR. Sheffield, UK, July 29, 2004. http://lair.indiana.edu/sigirbio/final/koh.pdf

5) Kini RM. Structure-function relationships and mechanism of anticoagulant phospholipase A2 enzymes from snake venoms. Toxicon. 2005 Jun 15;45(8):1147-61. Epub 2005 Apr 13. Review. PMID: 15922780

6) Tan PT, Srinivasan KN, Seah SH, Koh JL, Tan TW, Ranganathan S, Brusic V. Accurate prediction of scorpion toxin functional properties from primary structures. J Mol Graph Model. 2005 Sep;24(1):17-24. PMID: 15950506

7) Smith WL, Wheeler WC. Venom evolution widespread in fishes: a phylogenetic road map for the bioprospecting of piscine venoms. J Hered. 2006 May-Jun;97(3):206-17. Epub 2006 Jun 1. PMID: 16740627

8) Kini RM. Anticoagulant proteins from snake venoms: structure, function and mechanism. Biochem J. 2006 Aug 1;397(3):377-87. Review. PMID: 16831131

9) Wagstaff SC, Laing GD, Theakston RD, Papaspyridis C, Harrison RA. Bioinformatics and multiepitope DNA immunization to design rational snake antivenom. PLoS Med. 2006 Jun;3(6):e184. PMID: 16737347

10) K Lam, JLY Koh, B Veeravalli, V Brusic. Incremental Maintenance of Biological Databases Using Association Rule Mining. LECTURE NOTES IN COMPUTER SCIENCE, 2006 - Springer

11) Seah, S.H., Kwoh, C.K., Brusic, V., Sakharkar, M.K., Ng, G.S. Functional prediction of snake neurotoxins. 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06, art. no. 4150399

12) Bhogal, S., Revett, K. Animal toxins: What features differentiate pore blockers from gate modifiers? 2005 ICSC Congress on Computational Intelligence Methods and Applications 2005, art. no. 1662329

13) Saha S, Raghava GP. Prediction of neurotoxins based on their function and source. In Silico Biol. 2007 Apr 6;7:0025 [Epub ahead of print]. PMID: 17688450

14) Judice, Lie Yong Koh. Correlation-Based Methods for Biological Data Cleaning. PhD thesis. 2007, National University of Singapore

15) Sivan, G. Fish venom: Pharmacological features and biological significance. Fish and Fisheries, 2009, 10 (2), pp. 159-172

16) Naamati G, Askenazi M, Linial M. ClanTox: a classifier of short animal toxins. Nucleic Acids Res. 2009 Jul 1;37(Web Server issue):W363-8. Epub 2009 May 8. PMID: 19429697

17) Tan Thiam Joo, Paul

Functional prediction of bioactive toxins in scorpion venom through bioinformatics

PhD Thesis, 2006

https://scholarbank.nus.edu.sg/handle/10635/15536

18) Seah SH, Kwoh CK, Brusic V, et al.

Conference Information: 9th International Conference on Control, Automation, Robotics and Vision, DEC 05-08, 2006 Singapore, SINGAPORE

Source: 2006 9th International Conference on Control, Automation, Robotics and Vision, Vols 1- 5 Pages: 2295-2298 Published: 2006

19) Busca de inibidores naturais contra o veneno de Apis mellifera

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