Skip to main content

ORIGINAL RESEARCH article

Front. Bioinform.
Sec. Drug Discovery in Bioinformatics
Volume 4 - 2024 | doi: 10.3389/fbinf.2024.1488331

Innovative CDR Grafting and Computational Methods for PD-1 Specific Nanobody Design

Provisionally accepted
JAGADEESWARA REDDY DEVASANI JAGADEESWARA REDDY DEVASANI 1*Girija Sankar Guntuku Girija Sankar Guntuku 1*Mary Sulakshana Palla Mary Sulakshana Palla 2*Murali Krishna M Murali Krishna M 1*
  • 1 Andhra University, Visakhapatnam, India
  • 2 Gandhi Institute of Technology and Management (GITAM), Visakhapatnam, Andhra Pradesh, India

The final, formatted version of the article will be published soon.

    The development of nanobodies targeting Programmed Cell Death Protein-1 (PD-1) offers a promising approach in cancer immunotherapy. This study combines computational design with experimental validation to engineer and characterize a PD-1-specific nanobody using an integrated in silico and in vitro approach. Initially, an in-silico design strategy was employed, where Complementarity-Determining Region (CDR) grafting was used to construct the nanobody sequence. The three-dimensional structure of the nanobody was predicted using AlphaFold2, followed by molecular docking simulations via ClusPro to assess binding interactions with PD-1.Physicochemical analyses, performed using web-based tools, provided insights into the stability, solubility, and other properties critical to nanobody efficacy. Molecular dynamics (MD) simulations further evaluated the stability and conformational dynamics under physiological conditions. To validate these computational findings, the nanobody was produced and purified using Ni-NTA chromatography. Characterization was carried out through Western blotting and ELISA, which gives nanobody specific binding affinity for PD-1. Dot blot analysis provided additional evidence of binding specificity and interaction robustness. Our combined computational and experimental results indicate that the engineered PD-1 nanobody is a strong candidate for further testing in cancer immunotherapy applications.

    Keywords: cancer immunotherapy, Nanobody, programmed cell death protein-1, complementarity-determining region, western blot, ELISA, Dot Blot. List of abbreviations: CDR: Complementarity-Determining Region FDA: Food and Drug Administration, United States Protein Data Bank PD-L1: Programmed Death Ligand-1 Rg: Radius of Gyration RMSD: Root Mean Square Deviation RMSF: Root Mean Square Fluctuation SASA: Solvent Accessible Surface Area

    Received: 29 Aug 2024; Accepted: 30 Dec 2024.

    Copyright: © 2024 DEVASANI, Guntuku, Palla and M. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    JAGADEESWARA REDDY DEVASANI, Andhra University, Visakhapatnam, India
    Girija Sankar Guntuku, Andhra University, Visakhapatnam, India
    Mary Sulakshana Palla, Gandhi Institute of Technology and Management (GITAM), Visakhapatnam, 124001, Andhra Pradesh, India
    Murali Krishna M, Andhra University, Visakhapatnam, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.