258 search results - page 36 / 52 » A Framework for Improving Protein Structure Predictions by T... |
NAR
2011
12 years 10 months ago
2011
An essential prerequisite for any systems-level understanding of cellular functions is to correctly uncover and annotate all functional interactions among proteins in the cell. To...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The pharmaceutical industry is facing an ever-increasing demand to discover novel drugs that are more effective and safer than existing ones. The industry faces huge problem in im...
BMCBI
2007
13 years 7 months ago
2007
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...