Modified heated dynamics and deep mutational scanning enhance anti-CXCR2 antibody affinity
Muhamad Alif Che Nordin1,2, Yee Siew Choong3, Mohammad Tasyriq Che Omar1
1Biological Section, School of Distance Education, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
This study enhanced antibody binding to CXCR2, a target for colorectal cancer treatment, by using molecular simulations and deep mutational scanning. Rational antibody engineering significantly boosted binding affinity, offering a promising strategy for overcoming chemoresistance.
Area of Science:
- Biochemistry
- Computational Biology
- Immunology
Background:
- Colorectal cancer (CRC) is a major global health concern, with advanced stages often requiring surgery and chemotherapy.
- Chemoresistance remains a significant challenge, limiting the effectiveness of current CRC treatments.
- Targeting resistance pathways, like CXCR2, with therapeutic antibodies presents a potential strategy to improve patient outcomes.
Purpose of the Study:
- To enhance the binding affinity of the HY29-1 antibody to CXCR2 using structure-guided engineering.
- To assess the conformational stability and binding interactions of the HY29-1 antibody fragment (Fv-HY29-1) with CXCR2 under simulated thermal stress.
- To identify key residues responsible for antibody-antigen binding and rationally engineer improved affinity.
Main Methods:
- Modified heated coarse-grained molecular dynamics (CGMD) simulations were employed to assess antibody stability and binding.
- Deep mutational scanning was utilized over extended simulation trajectories (up to 1000 ns) to identify critical binding residues.
- Rational amino acid substitutions were designed based on simulation and scanning results to improve antibody affinity.
Main Results:
- The Fv-HY29-1 antibody fragment demonstrated remarkable conformational stability and maintained 100% complexation with CXCR2 during 70 ns simulations.
- Deep mutational scanning identified specific residues (A43, L47, F98) in the antibody's light chain as crucial for binding.
- Rational substitutions (A43P, L47V, F98W) significantly increased binding affinity from -36.02 kcal/mol to -94.09 kcal/mol, a twofold improvement.
Conclusions:
- Structure-guided antibody engineering, utilizing CGMD simulations and deep mutational scanning, is an effective method for optimizing antibody binding affinity.
- The identified mutations provide a rational basis for designing high-affinity antibodies targeting CXCR2 and potentially other antigens.
- This cost-effective approach can accelerate the development of novel antibody-based therapeutics for challenging diseases like colorectal cancer.
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