Format:
1 Online-Ressource (x, 634 Seiten)
ISBN:
9789813235533
Content:
The Pacific Symposium on Biocomputing (PSB) 2018 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2018 will be held on January 3 - 7, 2018 in Kohala Coast, Hawaii.PSB 2018 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's 'hot topics.' In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
Content:
Intro -- Preface -- APPLICATIONS OF GENETICS, GENOMICS AND BIOINFORMATICS IN DRUG DISCOVERY -- Session introduction -- 1. Introduction -- 2. Session Contributions -- 2.1. Drug mechanisms of action and drug combinations -- 2.2. Drug metabolism and in silico drug screening -- 2.3. Disease genes and pathways -- 3. Acknowledgments -- References -- Characterization of drug-induced splicing complexity in prostate cancer cell line using long read technology -- Introduction -- Results -- Discussion -- Methods -- Supplementary -- Acknowledgements -- References -- Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures -- 1. Introduction -- 1.1. Decreasing returns in drug discovery pipelines -- 1.2. Existing methods for prediction of protein-ligand interactions -- 2. Methods -- 2.1. Data set -- 2.2. Protein Featurization -- 2.3. Ligand Featurization -- 2.4. Boosting Model -- 2.5. Cross Validation Approaches -- 3. Results -- 3.1. Model Performance -- 3.2. Most predictive motif features -- 3.3. Known positive examples -- 3.3.1. Uricase - Uric acid -- 3.3.2. Chloramphenicol O-acetyltransferase - Chloramphenicol -- 3.3.3. Transthyretin -T4 -- 3.4. Interpreting ADT Paths -- 3.4.1. Path lengths -- 3.4.2. Protein kinase C - Phosphatidylserine -- 4. Discussion -- Acknowledgments -- References -- Cell-specific prediction and application of drug-induced gene expression profiles -- 1. Introduction -- 2. Methods -- 2.1. Notation and terminology -- 2.2. Data processing -- 2.3. The Drug Neighbor Profile Prediction algorithm -- 2.4. The Fast, Low-Rank Tensor Completion algorithm -- 2.5. Baseline averaging schemes -- 2.6. Cross-validation for predicting gene expression profiles -- 2.7. Predicting drug targets and ATC codes -- 3. Results -- 3.1. Overall accuracy -- 3.2. Tradeoffs in accuracy across drug-cell space.
Note:
Description based on publisher supplied metadata and other sources
Additional Edition:
ISBN 9789813235526
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9789813235526
Language:
English
Keywords:
Biocomputer
;
Bioinformatik
;
Konferenzschrift
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