rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Protein interaction networks
  name:
    name part: Donev, Rossen.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    place:
      place term: Cambridge
    publisher: Academic Press
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Protein Interaction Networks, Volume 131 in the Advances in Protein Chemistry and Structural Biology series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.- Provides the authority and expertise of leading contributors from an international board of authors-.
  table of contents: Intro -- Protein Interaction Networks -- Copyright -- Contents -- Contributors -- Chapter One: On the current failure-but bright future-of topology-driven biological network alignment -- 1. Introduction -- 1.1. Motivation -- 1.2. The sequence-topology ``trade-off ́́ -- 1.3. Possible reasons for the failure -- 1.4. Contribution -- 2. Preliminaries -- 2.1. Pairwise global network alignment (PGNA) -- 2.2. Measuring topological similarity -- 2.3. SANA: The simulated annealing network aligner -- 3. Testing hypotheses R1 and R3 -- 3.1. Addressing R1 using information theory and edge density
  table of contents: 3.2. Addressing R3: Inadequate optimization of chosen topological objective functions -- 3.2.1. SANA achieves near-optimal solutions when the optimal solution is known -- 3.2.2. SANA outscores other aligners even at optimizing their own objectives -- 3.2.3. Summary: SANA provides a near-optimal level playing field for objective function comparison -- 4. Addressing R2: Measuring functional relevance of topological objective functions -- 4.1. Functional relevance -- 4.2. Objective function saturation -- 4.3. Evaluating the functional relevance of topological measures
  table of contents: 4.4. Recovery of common Gene Ontology terms -- 4.5. Topology-based recovery of thousands of orthologs between major BioGRID species -- 5. Discussion -- 5.1. Statistical significance -- 6. Methods -- 6.1. Information theory in the context of network alignment -- 6.2. Exactly computing the logarithm of large integers -- 6.3. Comparing SANAś alignments to those of competing aligners -- 6.4. Computing the p-value of recovered orthologs -- 6.5. Computing the p-value of shared GO terms in an alignment -- 6.6. On the importance of choosing the right measure of topological similarity
  table of contents: 7. Data availability -- Acknowledgments -- Author contributions -- References -- Chapter Two: From single-omics to interactomics: How can ligand-induced perturbations modulate single-cell phenotypes? -- 1. Introduction -- 1.1. Fundamentals of the drug discovery process -- 1.2. Overwhelming data quantity and complexity in biology -- 2. Single-cell omics: From unimodal to multimodal analysis -- 2.1. Is multimodal single-cell analysis the way to go? -- 2.2. Single-cell data integration challenges -- 3. Bridging structure and cell data as drivers to understand ligand-induced perturbations
  table of contents: 3.1. Three-dimensional structure role in ligand-induced perturbations -- 3.2. Single-cell role in ligand-induced perturbations -- 3.3. How can we integrate multimodal biological data? Can structure lead to better network analysis while potentiating th ... -- 3.4. Datasets and prevision models for drug-induced perturbations -- 4. Conclusion -- Funding -- References -- Chapter Three: A review of bioinformatics tools and web servers in different microarray platforms used in cancer research -- 1. Microarray and bioinformatics -- 2. Application of microarray data
  note: edited by Rossen Donev.
  subject:
    topic: Protein-protein interactions
  subject:
    topic: Interactions protéine-protéine
  subject:
    topic: Protein-protein interactions
  classification: QP551.5
  classification: 572.64
  related item:
    identifier: (OCoLC)1288664226
  related item:
    title info:
      title: PROTEIN INTERACTION NETWORKS
    origin info:
      publisher: [S.l.] : ELSEVIER ACADEMIC PRESS, 2022
    identifier: (OCoLC)1288664226
  related item:
    title info:
      title: Advances in protein chemistry and structural biology ; v. 131
  identifier: 9780323992329
  identifier: 0323992323
  identifier: 9780323992312
  identifier: 0323992315
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 220725
    record change date: 20260327172724.1
    record identifier: in00005770020
    language of cataloging:
      language term: eng