International Journal of Molecular Biotechnological Research Review Article
Integrative Structural-Functional Genomics of Fc and Fab: Precision Models for Monoclonal Antibody Stability and Anti-Aggregation Engineering
Abstract
Monoclonal antibodies (mAbs) represent the cornerstone of biotherapeutics, yet aggregation propensity compromises up to 50% of candidates during development, driven by Fab hypervariability and Fc vulnerabilities.(1,2) This review integrates functional genomics from OAS (4B+ sequences)(5) and structural databases (SAbDab: 10K+ structures)(6) with machine learning models achieving R=0.97 for SAP prediction.(11) We dissect biophysical mechanisms, benchmark predictive tools (DeepSP, ESM2), and engineering strategies (YTE, FW mutations) that enhance Tm by 5-10°C while preserving affinity.(14,25) Case studies from trastuzumab variants and COVID mAbs demonstrate 30-55% aggregation reduction.(7,11) Integrative pipelines fuse repertoire mining, AlphaFold3 structures, and MD- featurized ML to de-risk developability, slashing attrition by 35%.(7) Future directions emphasize multi- task models for high-conc. subcutaneous delivery (200 mg/mL).(22)
Keywords
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