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Related Concept Videos

Enzyme-linked Receptors01:00

Enzyme-linked Receptors

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Enzyme-linked receptors are proteins that act as both receptor and enzyme, activating multiple intracellular signals. This is a large group of receptors that include the receptor tyrosine kinase (RTK) family. Many growth factors and hormones bind to and activate the RTKs.
Neurotrophin (NT) receptors are a family of RTKs, including trkA, trkB, and trkC (tropomyosin-related kinase) receptors. TrkA is specific for nerve growth factor (NGF), neurotrophin-6, and neurotrophin-7. TrkB binds...
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Related Experiment Video

Updated: Mar 19, 2026

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens
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Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

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Analysis of Tumor Necrosis Factor Function Using the Resonant Recognition Model.

Irena Cosic1,2, Drasko Cosic3, Katarina Lazar3

  • 1RMIT University, La Trobe Street, Melbourne, VIC, 3000, Australia. irena.cosic@rmit.edu.au.

Cell Biochemistry and Biophysics
|June 12, 2016
PubMed
Summary

Tumor necrosis factor (TNF) has dual roles in cancer. The resonant recognition model (RRM) computational approach helps differentiate TNF

Keywords:
Amino acidDNAFast Fourier transformOncogenesProteinProtein modellingRNAResonant recognition modelTumor necrosis factor

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Determination of the Relative Potency of an Anti-TNF Monoclonal Antibody mAb by Neutralizing TNF Using an In Vitro Bioanalytical Method
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Determination of the Relative Potency of an Anti-TNF Monoclonal Antibody mAb by Neutralizing TNF Using an In Vitro Bioanalytical Method
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Area of Science:

  • * Molecular Biology
  • * Computational Biology
  • * Bioinformatics

Background:

  • * Tumor necrosis factor (TNF) is a protein with critical roles in apoptosis, inflammation, and tumor suppression.
  • * While TNF shows promise for cancer therapy, its inflammatory and toxic side effects necessitate a deeper functional understanding.
  • * Differentiating TNF's beneficial and detrimental functions is key to developing targeted cancer treatments.

Purpose of the Study:

  • * To elucidate the complex functions of tumor necrosis factor (TNF) using a computational approach.
  • * To identify specific TNF functions, such as tumor inhibition and apoptosis induction, and their associated molecular characteristics.
  • * To explore the potential for designing novel TNF-related proteins with enhanced therapeutic efficacy and reduced side effects.

Main Methods:

  • * Application of the resonant recognition model (RRM), a computational tool for analyzing macromolecular sequences.
  • * Analyzing periodicities in the distribution of free electron energies along the TNF protein sequence.
  • * Correlating identified periodicities (frequencies) with specific biological functions of TNF.

Main Results:

  • * Different functions of TNF were successfully separated and identified as distinct periodicities within its free electron energy distribution.
  • * Characteristic TNF frequencies were found to correlate with proto-oncogene and oncogene protein characteristics, linking TNF to oncogenesis.
  • * Key amino acids responsible for TNF's receptor recognition function were identified.

Conclusions:

  • * The resonant recognition model (RRM) can effectively differentiate complex protein functions, including those of TNF.
  • * Understanding TNF's functional periodicities provides insights into its role in oncogenesis and its potential as a cancer therapeutic.
  • * The study successfully designed a peptide capable of receptor recognition, demonstrating the potential for developing targeted TNF-based therapies with minimized side effects.