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Protein Network Topology & Interfaces Training | PPI Graphs, Interfaces & Hotspots

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Proteomics, Structural Bioinformatics & Biophysical Modeling >> Protein Network Topology & Interfaces Training | PPI Graphs, Interfaces & Hotspots

Protein Network Topology & Interfaces — Hands-on

Learn how to connect protein structure, interfaces and interaction data into coherent network based views. From building and annotating protein interaction graphs through mapping structural interfaces, hotspots and allosteric paths, you will use network topology and graph measures to prioritize residues, partners and regions that matter for function, mechanism and design.

Protein Network Topology & Interfaces
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Session 1
Fee: Rs 12320
Interaction Data, Networks & Graph Basics
  • Protein interaction data sources and QC
  • experimental vs predicted interactions confidence scores and filtering ideas binary vs complex level interactions
  • Graph representation of protein networks
  • nodes, edges and edge weights concepts directed, undirected and bipartite views network building from interaction tables
  • Basic network descriptors and plots
  • degree distributions and hubs connected components and subgraphs simple layouts and visual cues
Session 2
Fee: Rs 16520
Structural Interfaces & Hotspot Annotation
  • Mapping interactions to structural interfaces
  • using complexes and docking models buried surface area and contact residues interface type and geometry views
  • Interface hotspot and energy contributions (concepts)
  • conserved and central interface residues alanine scanning ideas electrostatic and hydrophobic contributions
  • From residue level features to interface level labels
  • annotating edges with interface types critical residues and mutation sensitivity linking structural details to network edges
Session 3
Fee: Rs 20720
Network Topology, Paths & Communities
  • Centrality and importance measures
  • degree, betweenness and closeness ideas eigenvector and pagerank style views node and edge centrality for PPIs
  • Paths, communication routes and allostery (concepts)
  • shortest paths and path ensembles connecting binding sites via residue networks simple models of information flow
  • Communities, modules and sub networks
  • clustering and community detection ideas functional modules and complexes mapping communities back to structures
Session 4
Fee: Rs 26320
Workflows, Integration & Reporting
  • End to end network and interface workflows
  • from interaction tables to graphs and interfaces combining centrality, communities and hotspots shortlisting residues, proteins and complexes
  • Integration with omics and structural projects
  • overlaying expression and variant data linking to docking, MD and free energy outputs pathway and disease module mapping
  • Figures, tables and project ready summaries
  • network diagrams with highlighted hubs interface and hotspot panels on structures ranked lists with clear interpretation notes


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