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Updated: May 20, 2026

Determination of the Relative Potency of an Anti-TNF Monoclonal Antibody (mAb) by Neutralizing TNF Using an In Vitro Bioanalytical Method
Published on: September 16, 2017
An improved understanding of TNFL/TNFR interactions using structure-based classifications
Cedrik Magis1, Almer M van der Sloot, Luis Serrano
1Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG) and UPF, Barcelona, Spain.
Abstract:
Tumor Necrosis Factor Ligand (TNFL)-Tumor Necrosis Factor Receptor (TNFR) interactions control key cellular processes; however, the molecular basis of the specificity of these interactions remains poorly understood. Using the T-RMSD (tree based on root mean square deviation), a newly developed structure-based sequence clustering method, we have re-analyzed the available structural data to re-interpret the interactions between TNFLs and TNFRs. This improves the classification of both TNFLs and TNFRs, such that the new groups defined here are in much stronger agreement with structural and functional features than existing schemes. Our clustering approach also identifies traces of a convergent evolutionary process for TNFLs and TNFRs, leading us to propose the co-evolution of TNFLs and the third cysteine rich domain (CRD) of large TNFRs.
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