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» Adversarial Sequence Prediction
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BMCBI
2007
107views more  BMCBI 2007»
13 years 9 months ago
Prediction of potential drug targets based on simple sequence properties
Background: During the past decades, research and development in drug discovery have attracted much attention and efforts. However, only 324 drug targets are known for clinical dr...
Qingliang Li, Luhua Lai
CSB
2005
IEEE
110views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Maximum Sequence Alignment Fails to Predict Off-targeted Gene Regulation by RNAi
We have employed various sequence alignment algorithms and scoring techniques to determine whether current computational tools accurately predict genes that will be off-targeted b...
Amanda Birmingham, Emily M. Anderson, William S. M...
AIR
2000
91views more  AIR 2000»
13 years 8 months ago
PlanMine: Predicting Plan Failures Using Sequence Mining
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because p...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
RECOMB
2001
Springer
14 years 9 months ago
Predicting the beta-helix fold from protein sequence data
A method is presented that uses b-strand interactions to predict the parallel right-handed b-helix super-secondary structural motif in protein sequences. A program called BetaWrap...
Phil Bradley, Lenore Cowen, Matthew Menke, Jonatha...
CIBCB
2007
IEEE
14 years 23 days ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay