In silico designing and optimization of anti‐epidermal growth factor receptor scaffolds by complementary‐determining regions‐grafting technique

Razieh Rezaei Adriani , Seyed Latif Mousavi Gargari , Hamid Bakherad , Jafar Amani

Quant. Biol. ›› 2024, Vol. 12 ›› Issue (3) : 301 -312.

PDF (2478KB)
Quant. Biol. ›› 2024, Vol. 12 ›› Issue (3) :301 -312. DOI: 10.1002/qub2.63
RESEARCH ARTICLE
In silico designing and optimization of anti‐epidermal growth factor receptor scaffolds by complementary‐determining regions‐grafting technique
Author information +
History +
PDF (2478KB)

Abstract

Monoclonal antibodies are attractive therapeutic agents in a wide range of human disorders that bind specifically to their target through their complementary‐determining regions (CDRs). Small proteins with structurally preserved CDRs are promising antibodies mimetics. In this in silico study, we presented new antibody mimetics against the cancer marker epidermal growth factor receptor (EGFR) created by the CDRs grafting technique. Ten potential graft acceptor sites that efficiently immobilize the grafted CDR loops were selected from three small protein scaffolds using a computer. The three most involved CDR loops in antibody‐receptor interactions extracted from panitumumab antibody against the EGFR domain III crystal structure were then grafted to the selected scaffolds through the loop randomization technique. The combination of three CDR loops and 10 grafting sites revealed that three of the 36 combinations showed specific binding to EGFR DIII by binding energy calculations. Thus, the present strategy and selected small protein scaffolds are promising tools in the design of new binders against EGFR with high binding energy.

Keywords

CDR grafting technique / EGFR / molecular dynamic simulation / panitumumab

Cite this article

Download citation ▾
Razieh Rezaei Adriani, Seyed Latif Mousavi Gargari, Hamid Bakherad, Jafar Amani. In silico designing and optimization of anti‐epidermal growth factor receptor scaffolds by complementary‐determining regions‐grafting technique. Quant. Biol., 2024, 12(3): 301-312 DOI:10.1002/qub2.63

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Woof JM , Burton DR . Human antibody-Fc receptor interactions illuminated by crystal structures. Nat Rev Immunol. 2004; 4 (2): 89- 99.

[2]

Ito T , Nishi H , Kameda T , Yoshida M , Fukazawa R , Kawada S , et al. Combination informatic and experimental approach for selecting scaffold proteins for development as antibody mimetics. Chem Lett. 2021; 50 (11): 1867- 71.

[3]

Kang TH , Seong BL . Solubility, stability, and avidity of recombinant antibody fragments expressed in microorganisms. Front Microbiol. 2020; 11.

[4]

Kadonosono T , Yimchuen W , Ota Y , See K , Furuta T , Shiozawa T , et al. Design strategy to create antibody mimetics harbouring immobilised complementarity determining region peptides for practical use. Sci Rep. 2020; 10 (1): 891.

[5]

Chiu ML , Goulet DR , Teplyakov A , Gilliland GL . Antibody structure and function: the basis for engineering therapeutics. Antibodies. 2019; 8 (4): 55.

[6]

Nicaise M , Valerio-Lepiniec M , Minard P , Desmadril M . Affinity transfer by CDR grafting on a non-immunoglobulin scaffold. Protein Sci. 2004; 13 (7): 1882- 91.

[7]

Löfblom J , Frejd FY . Alternative scaffolds as bispecific antibody mimetics. In: Bispecific antibodies. Berlin Heidelberg: Springer; 2011. pp. 115- 133.

[8]

Garg P . Selective preference of antibody mimetics over antibody, as binding molecules, for diagnostic and therapeutic applications in cancer therapy. Biointerface Res Appl Chem. 2021; 11: 10765- 75.

[9]

Wagner HJ , Wehrle S , Weiss E , Cavallari M , Weber W . A two-step approach for the design and generation of nanobodies. Int J Mol Sci. 2018; 19 (11): 3444.

[10]

Chen D , Oezguen N , Urvil P , Ferguson C , Dann SM , Savidge TC . Regulation of protein‐ligand binding affinity by hydrogen bond pairing. Sci Adv. 2016; 2 (3).

[11]

DeLano WL . The PyMOL molecular graphics system. 2002. Available from PyMOL website.

[12]

Richards DA . Exploring alternative antibody scaffolds: antibody fragments and antibody mimics for targeted drug delivery. Drug Discov Today Technol. 2018; 30: 35- 46.

[13]

Martin-Fernandez ML , Clarke DT , Roberts SK , Zanetti-Domingues LC , Gervasio FL . Structure and dynamics of the EGF receptor as revealed by experiments and simulations and its relevance to non-small cell lung cancer. Cells. 2019; 8 (4): 316.

[14]

Mathpal S , Joshi T , Sharma P , Joshi T , Pundir H , Pande V , et al. A dynamic simulation study of FDA drug from zinc database against COVID-19 main protease receptor. J Biomol Strut Dyn. 2022; 40 (3): 1084- 100.

[15]

Kuzmanic A , Zagrovic B . Determination of ensemble-average pairwise root-mean-square deviation from experimental B-factors. Biophys J. 2010; 98 (5): 861- 71.

[16]

Voigt M , Braig F , Göthel M , Schulte A , Lamszus K , Bokemeyer C , et al. Functional dissection of the epidermal growth factor receptor epitopes targeted by panitumumab and cetuximab. Neoplasia. 2012; 14 (11): 1023- IN3.

[17]

Liberis E , Veličković P , Sormanni P , Vendruscolo M , Liò P . Parapred: antibody paratope prediction using convolutional and recurrent neural networks. Bioinformatics. 2018; 34 (17): 2944- 50.

[18]

Wiederstein M , Sippl MJ . ProSA‐web: interactive web service for the recognition of errors in three‐dimensional structures of proteins. Nucleic Acids Res. 2007; 35 (suppl_2): W407- 10.

[19]

Van Zundert G , Rodrigues J , Trellet M , Schmitz C , Kastritis P , Karaca E , et al. The HADDOCK2. 2 web server: user‐friendly integrative modeling of biomolecular complexes. J Mol Biol. 2016; 428 (4): 720- 5.

[20]

Sickmier EA , Kurzeja RJ , Michelsen K , Vazir M , Yang E , Tasker AS . The panitumumab EGFR complex reveals a binding mechanism that overcomes cetuximab-induced resistance. PLoS One. 2016; 11 (9): e0163366.

[21]

Hess B , Kutzner C , Van Der Spoel D , Lindahl E . GROMACS 4: algorithms for highly efficient, load-balanced, and scalable molecular simulation. J Chem Theor Comput. 2008; 4 (3): 435- 47.

RIGHTS & PERMISSIONS

2024 The Author(s). Quantitative Biology published by John Wiley & Sons Australia, Ltd on behalf of Higher Education Press.

PDF (2478KB)

527

Accesses

0

Citation

Detail

Sections
Recommended

/