Abhishek Tiwari:Projects: Difference between revisions
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*Prediction of logP and Solubility:Consensus Model with better Prediction Accuracy | *Prediction of logP and Solubility:Consensus Model with better Prediction Accuracy | ||
*eSIFT(Extended Structural Interaction Fingerprint) & Post Docking Interaction Analysis:Application to Virtual Screening | *eSIFT(Extended Structural Interaction Fingerprint) & Post Docking Interaction Analysis:Application to Virtual Screening | ||
*Workflow Based Framework for Life Sciences Informatics | |||
*Spotfire based Visual Analytics Framework for Microarray Data Analysis and Functional Genomics | |||
== Ongoing == | == Ongoing == | ||
* | *Visual Dataflow Programming for ''In Silico'' Biology | ||
* | *Building blocks for Machine Learning based Classification and Prediction Methods | ||
*GPCR Classification & Deorphanization of GPCRs | |||
<html> | <html> |
Revision as of 06:07, 9 October 2007
Research & Projects
Previous
- Nucleic Acid Thermodynamics Prediction:Role of Structural and Environmental factors along with Sequence related features
- Hydrogen bonds and similar type of non-bonded interactions( Non- Canonical π Interactions and Halogen Bonds):Application in Biology and Chemistry
- New Data Mining Methods:Mass Spectroscopy analysis of peptides
- DNA Sequence Comparisons, Classification and Deciphering relationship between Sequence Structure and Function using Wavelet based methods
- Classification of Proteins based on Shadow Indices
- Prediction of logP and Solubility:Consensus Model with better Prediction Accuracy
- eSIFT(Extended Structural Interaction Fingerprint) & Post Docking Interaction Analysis:Application to Virtual Screening
- Workflow Based Framework for Life Sciences Informatics
- Spotfire based Visual Analytics Framework for Microarray Data Analysis and Functional Genomics
Ongoing
- Visual Dataflow Programming for In Silico Biology
- Building blocks for Machine Learning based Classification and Prediction Methods
- GPCR Classification & Deorphanization of GPCRs
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