Weijie Ou, Jing Dan, Xuzhen Guo, Qiong Liu, Lei Tan
{"title":"An Integrative Strategy Enhancing Nanobody Thermostability via CDR Grafting, In Silico Mutagenesis Screening, and Multiplex Evaluation.","authors":"Weijie Ou, Jing Dan, Xuzhen Guo, Qiong Liu, Lei Tan","doi":"10.1021/acssynbio.5c00112","DOIUrl":null,"url":null,"abstract":"<p><p>Nanobodies are transformative tools in biomedical research and therapy due to their structural advantages and exceptional stability. However, their intrinsic stability varies significantly, while existing stabilization strategies often face various limitations. Here, we report a computational-experimental integrative approach that combines complementarity-determining region (CDR) grafting with virtual mutagenesis for stabilization. Using A4.2m as the framework region donor and Nb20, a SARS-CoV-2 spike protein-targeting nanobody, as the CDR source, Nb20-4.2m was engineered and demonstrated a 10 °C enhancement in melting temperature (<i>T</i><sub>m</sub>) and 55% improvement of refolding efficiency. Subsequently, through a computational pipeline, experimental validations, and a combination of mutations, the final construct was yielded with 68 °C <i>T</i><sub>m</sub> and >82% refolding efficiency. A molecular dynamics simulation indicated that the stability enhancement originates from optimized intramolecular hydrogen bonding networks. With a higher efficiency than conventional methods, this approach offered a paradigm shift in engineering and established a versatile platform for nanobody optimization to fit broad applications in clinics and industry.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":"2690-2702"},"PeriodicalIF":3.7000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.5c00112","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Nanobodies are transformative tools in biomedical research and therapy due to their structural advantages and exceptional stability. However, their intrinsic stability varies significantly, while existing stabilization strategies often face various limitations. Here, we report a computational-experimental integrative approach that combines complementarity-determining region (CDR) grafting with virtual mutagenesis for stabilization. Using A4.2m as the framework region donor and Nb20, a SARS-CoV-2 spike protein-targeting nanobody, as the CDR source, Nb20-4.2m was engineered and demonstrated a 10 °C enhancement in melting temperature (Tm) and 55% improvement of refolding efficiency. Subsequently, through a computational pipeline, experimental validations, and a combination of mutations, the final construct was yielded with 68 °C Tm and >82% refolding efficiency. A molecular dynamics simulation indicated that the stability enhancement originates from optimized intramolecular hydrogen bonding networks. With a higher efficiency than conventional methods, this approach offered a paradigm shift in engineering and established a versatile platform for nanobody optimization to fit broad applications in clinics and industry.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.