Upcoming Events

July 19-23, 2013: 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB).

April 7-10, 2013: 17th Annual International Conference on Research in Computational Molecular Biology (RECOMB).

April 15-19, 2013: IEEE Symposium on Computational Intelligence in Bioinformatics & Computational Biology.

March 4-6, 2013: 5th international conference on Bioinformatics & Computational Biology (BICoB).

More events....



News     

Oct 18, 2012: A new Postdoctoral Fellow, Dr. Sitanshu Sekhar Sahu has joined our lab.

Aug 13-17, 2012: A comprehensive 1-week Bioinformatics Workshop was organized on campus; co-organized by OSU's iCREST center. Visit facebook page for details.

Apr 23, 2012: Co-hosted Dr. James Tiedje (Director, NSF Center for Microbial Ecology, Michigan State University) as an invited iCREST speaker; see flyer for details.

Apr 13, 2012: World renowned Computational Biologist, Dr. Eugene Koonin (NCBI) visited our lab, and delivered an invited lecture on campus as part of iCREST speaker series; see flyer for details. Video on YouTube.

Mar 16, 2012: We welcome Dr. Chris Town (Group leader, Plant Genomics, JCVI) as an invited iCREST speaker; see flyer for details.

Feb 14, 2012: KBL receives new grant from OCAST to develop bioinformatics systems for plant-microbe interaction networks; immediate Postdoc opening available.

Oct 21, 2011: We welcome Dr. Patrick X. Zhao (Head, Bioinformatics Lab, Noble Foundation) as an invited iCREST speaker; see flyer for details.

Sep 17, 2011: Tyler Weirick joins our lab (under iCREST) as a Graduate Research Assistant.

Aug 17, 2011: Robyn Kelley, a new master's student joins our lab as a Graduate Research Assistant.

July 21, 2011: KBL receives OSU funding to establish an iCREST center for Bioinformatics and Computational Biology.

June 08, 2011: KBL welcomes its first student, Kalpana Varala to work as a summer scholar in lab.



 




LacSubPred
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Welcome to LacSubPred

Laccases (E.C. 1.10.3.2) are multi-copper oxidases that have gained importance in many industries such as biofuels, pulp production, textile dye bleaching, bioremediation, and food production (Osma, Toca-Herrera et al. 2010, Piscitelli, Pezzella et al. 2010). Their usefulness stems from the ability to act on a diverse range of phenolic compounds such as o-/p-quinols, aminophenols, polyphenols, polyamines, aryl diamines, and aromatic thiols (Giardina, Faraco et al. 2010, Reiss, Ihssen et al. 2013). Despite acting on a wide range of compounds as a family, individual laccases often exhibit distinctive and varied substrate ranges (Reiss, Ihssen et al. 2013). This is likely due to laccases being treated as one type of enzyme when they are actually involved in many metabolic roles across diverse taxa such as fungi, plants, insects, and bacteria (Messerschmidt 1997, Alexandre and Zhulin 2000, Mayer and Staples 2002, Dittmer, Suderman et al. 2004). Classification systems for multi-copper oxidases have been developed using multiple sequence alignments, however, these systems seem to largely follow species taxonomy rather than substrate ranges or enzyme properties. It has been suggested that the roles and substrates of various laccases are related to their optimal pH. This is consistent with the observation that fungal laccases usually prefer acidic conditions, whereas plant and bacterial laccases prefer basic conditions (Reiss, Ihssen et al. 2013). We hypothesize that a descriptor based supervised learning can provide a better classification system of lacasses. A precedent for such an attempt has been demonstrated for feruloyl esterases (Udatha, Kouskoumvekaki et al. 2011).
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