David Gilbert

ORCID: 0000-0002-8872-4294
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About
Contact & Profiles
Research Areas
  • Gene Regulatory Network Analysis
  • Bioinformatics and Genomic Networks
  • Microbial Metabolic Engineering and Bioproduction
  • Machine Learning in Bioinformatics
  • Protein Structure and Dynamics
  • Genetics, Bioinformatics, and Biomedical Research
  • Formal Methods in Verification
  • RNA and protein synthesis mechanisms
  • Enzyme Structure and Function
  • Gene expression and cancer classification
  • Computational Drug Discovery Methods
  • Genomics and Phylogenetic Studies
  • Petri Nets in System Modeling
  • Receptor Mechanisms and Signaling
  • Scientific Computing and Data Management
  • Melanoma and MAPK Pathways
  • Biomedical Text Mining and Ontologies
  • Gut microbiota and health
  • Mathematical Biology Tumor Growth
  • Model-Driven Software Engineering Techniques
  • Glycosylation and Glycoproteins Research
  • Distributed and Parallel Computing Systems
  • Growth Hormone and Insulin-like Growth Factors
  • Archaeology and Natural History
  • Epigenetics and DNA Methylation

American Society of Civil Engineers
2024

Brunel University of London
2013-2023

University of Glasgow
2003-2022

Brandenburg University of Technology Cottbus-Senftenberg
2017

Queen's University
2010

RMIT University
2010

Sanford Burnham Prebys Medical Discovery Institute
2008

University of Groningen
2007

École Nationale Vétérinaire de Toulouse
2007

University of Latvia
2007

Abstract Background Interpretation of simple microarray experiments is usually based on the fold-change gene expression between a reference and "treated" sample where treatment can be many types from drug exposure to genetic variation. results combines lists differentially expressed genes with previous knowledge about their biological function. Here we evaluate method – PageRank algorithm employed by popular search engine Google that tries automate some this procedure generate prioritized...

10.1186/1471-2105-6-233 article EN cc-by BMC Bioinformatics 2005-09-21

Analysis of ERK pathway circuitry suggests appropriate targets for inhibition, providing a guide drug development.

10.1126/scisignal.2001212 article EN Science Signaling 2010-12-21

Protein-protein interaction networks are one of the major post-genomic data sources available to molecular biologists. They provide a comprehensive view global structure an organism's proteome, as well detailed information on specific interactions. Here we suggest physical model protein interactions that can be used extract additional at intermediate level: It enables us identify proteins which share biological motifs, and also potentially missing or spurious interactions.Our new graph...

10.1093/bioinformatics/btl338 article EN Bioinformatics 2006-06-20

FlyBase is a database of genetic and molecular data concerning Drosophila. maintained as relational (in Sybase) made available html documents flat files. The scope includes: genes, alleles (and phenotypes), aberrations, transposons, pointers to sequence data, clones, stock lists, Drosophila workers bibliographic references. Encyclopaedia joint effort between the Berkeley Genome Project which integrates with those from BDGP.

10.1093/nar/25.1.63 article EN Nucleic Acids Research 1997-01-01

The Epidermal Growth Factor Receptor (EGFR) activated Extracellular-signal Regulated Kinase (ERK) pathway is a critical cell signalling that relays the signal for to proliferate from plasma membrane nucleus. Deregulation of EGFR/ERK due alterations affecting expression or function number components has long been associated with numerous forms cancer. Under normal conditions, (EGF) stimulates rapid but transient activation ERK as rapidly shutdown. Whereas, under cancerous mutation conditions...

10.1186/1752-0509-3-100 article EN BMC Systems Biology 2009-10-05

Abstract Background Protein-protein interactions (PPI) can be classified according to their characteristics into, for example obligate or transient interactions. The identification and characterization of these PPI types may help in the functional annotation new protein complexes prediction interaction partners by knowledge driven approaches. Results This work addresses pattern discovery sites four different characterize uses them employing Association Rule Based Classification (ARBC) which...

10.1186/1471-2105-10-36 article EN cc-by BMC Bioinformatics 2009-01-28

Dynamic models of metabolism can be useful in identifying potential drug targets, especially unicellular organisms. A model glycolysis the causative agent human African trypanosomiasis, Trypanosoma brucei, has already shown utility this approach. Here we add pentose phosphate pathway (PPP) T. brucei to glycolytic model. The PPP is localized both cytosol and glycosome adding it without further adjustments leads a draining essential bound-phosphate moiety within glycosome. This "leak" must...

10.1371/journal.pcbi.1003371 article EN cc-by PLoS Computational Biology 2013-12-05
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