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ENGL
2008
74views more  ENGL 2008»
9 years 2 months ago
Improving the Development of QSAR Prediction Models with the use of Approximate Similarity Approach
The improvement on the QSAR prediction of the trans-stilbenes affinity for the -amyloid peptide (employed for detecting the Alzheimer disease) achieved by means of using approximat...
Irene Luque Ruiz, Manuel Urbano-Cuadrado, Miguel &...
BMCBI
2010
120views more  BMCBI 2010»
9 years 2 months ago
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
Background: Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a u...
Aarti Garg, Rupinder Tewari, Gajendra P. S. Raghav...
CIBCB
2009
IEEE
9 years 3 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
AAAI
2006
9 years 4 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis
BMCBI
2006
148views more  BMCBI 2006»
9 years 2 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
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