Drugbank Target Mapping
Drugbank Target Mapping - Related Videos
12:19
Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing (MTT)
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Cited by 4 •
2012
Multiple-Target Tracing is a homemade algorithm developed for tracking individually labeled molecules within the plasma membrane of living cells. Efficiently detecting, estimating and tracing molecules over time at high-density provide a user-friendly, comprehensive tool to investigate nanoscale membrane dynamics.
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Fate Mapping
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2023
Fate mapping is a technique used to understand how embryonic cells divide, differentiate, and migrate during development. In classic fate mapping experiments, cells in different areas of an embryo are labeled with a chemical dye and then tracked to determine which tissues or structures they form. Technological improvements now allow for individual cells to be marked and traced throughout embryonic development and adulthood. This video reviews the concepts behind fate mapping, and then details a...
11:03
Motor Maps
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California One principle of brain organization is the topographic mapping of information. Especially in sensory and motor cortices, adjacent regions of the brain tend to represent information from adjacent parts of the body, resulting in maps of the body expressed on the surface of the brain. The primary sensory and motor maps in the brain surround a prominent sulcus known as the central sulcus. The cortex...
04:41
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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Cited by 5 •
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We present a protocol to identify functional implications of non-coding variants identified by genome-wide association studies (GWAS) using three-dimensional chromatin interactions.
07:13
Using Topographic Maps to Generate Topographic Profiles
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2023
Source: Laboratory of Alan Lester - University of Colorado Boulder Topographic maps are "plan-view" representations of Earth's three-dimensional surface. They are a standard type of map-view that provides an overhead, or aerial, perspective. Among the defining features of a topographic map are the contour lines that indicate locations of constant elevation. The elevation interval between the contour lines is dependent on the level of detail provided by the map and the kind of topography present.
FAQs
Identifier matching provides the foundation for organizing drug-target records consistently. Researchers can connect a therapeutic compound with the appropriate protein and then attach details such as mechanism of action, interaction type, and pathway relationships. This structured organization makes it easier to compare compounds, examine shared targets, and interpret how different drugs may influence related biological processes.
Known associations represent drug-target relationships already recorded in the available data, whereas predicted associations extend the map to possible relationships. Keeping these categories distinguishable helps researchers interpret the strength and role of each connection appropriately. In cancer studies, predicted links can broaden target exploration, while known links support analysis of documented pharmacological mechanisms.
Pathway relationships place individual drug-target connections within larger biological systems. A mapped protein may participate in signaling, cell-cycle control, DNA repair, or tumor-survival processes, so examining its pathway context can reveal how drug effects may extend beyond one molecular interaction. This systems-level view supports more informed mechanism-of-action analysis in cancer research.
A basic workflow begins by matching drug identifiers with protein identifiers, followed by organizing the resulting drug-target associations. Researchers can then annotate records with interaction types, mechanisms of action, and related pathways. In a cancer-focused analysis, the organized dataset can be examined for links to signaling, cell-cycle regulation, DNA repair, and tumor-survival biology.
By connecting compounds with their documented or predicted protein targets, the mapping can reveal relationships between a drug and biological processes relevant to cancer. Researchers may use these connections to identify existing compounds whose target profiles fit a different therapeutic question. The resulting associations provide a basis for evaluating repurposing possibilities alongside mechanism-of-action information.
Target maps can connect anticancer agents with proteins involved in tumor biology, helping researchers relate drug activity to candidate biomarkers. They can also show whether different compounds engage related or distinct targets and pathways. That information supports the design and interpretation of combination strategies, particularly when researchers seek complementary effects across signaling, DNA repair, or cell-cycle processes.