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» Predicting diverse subsets using structural SVMs
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CIBCB
2005
IEEE
15 years 3 months ago
A Neural Network for Predicting Protein Disorder using Amino Acid Hydropathy Values
— Proteins have been discovered to contain ordered regions and disordered regions, where ordered regions have a defined three-dimensional (3D) structure and disordered regions d...
Deborah Stoffer, L. Gwenn Volkert
BIOINFORMATICS
2012
12 years 12 months ago
MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models
Summary: The MolClass toolkit and data portal generates computational models from user-defined small molecule datasets based on structural features identified in hit and non-hit m...
Jan Wildenhain, Nicholas FitzGerald, Mike Tyers
75
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BMCBI
2004
116views more  BMCBI 2004»
14 years 9 months ago
Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure p
Background: A detailed understanding of an RNA's correct secondary and tertiary structure is crucial to understanding its function and mechanism in the cell. Free energy mini...
Kishore J. Doshi, Jamie J. Cannone, Christian W. C...
JCISD
2002
63views more  JCISD 2002»
14 years 9 months ago
Prediction of Ultraviolet Spectral Absorbance Using Quantitative Structure-Property Relationships
High performance liquid chromatography (HPLC) with ultraviolet (UV) spectrophotometric detection is a common method for analyzing reaction products in organic chemistry. This proc...
William L. Fitch, Malcolm McGregor, Alan R. Katrit...
BMCBI
2004
114views more  BMCBI 2004»
14 years 9 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....