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The in silico methods for drug discovery are becoming increasingly powerful and useful.
The program supported research using data mining and other in silico methods for studying the etiology, diagnosis, treatment, and prevention of cancer.
We used in silico methods for prescreening chemicals for relevant toxic effects aiming at reduced testing needs.
Through use of molecular descriptors and Principal Component Analysis, this study explores the possibilities of using in silico methods for polymer design and characterization for property prediction.
In silico methods for linking genomic space to chemical space have played a crucial role in genomics driven discovery of new natural products as well as biosynthesis of altered natural products by engineering of biosynthetic pathways.
This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools.
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Therefore, SVM may be a potentially useful VS tool to complement other in-silico methods for searching Src inhibitors from large libraries.
The expression data and in-silico methods for combining disease-association and expression data are evolving rapidly.
J. A. Lerman, D. R. Hyduke, H. Latif, V. A. Portnoy, N. E. Lewis, J. D. Orth, A. C. Schrimpe-Rutledge, R. D. Smith, J. N. Adkins, K. A. Zengler, and B. O. Palsson, In silico method for modelling metabolism and gene product expression at genome scale, Nat.
An in silico method for the determination of stabilized water molecules in the binding site of the apo structure of LTA4H is used to interpret the measured thermodynamic data and provided insights for design of novel LTA4H inhibitors.
We describe a new in silico method for the prediction of bacterial pathogenicity, based on the identification in microbial genomes of features that appear to correlate with virulence.
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