In Silico Mutagenesis for Receptor-Binding Molecule Discovery
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Solution Overview
Problem
Existing methods for designing molecules to interact with cell surface receptors are slow, costly, and often result in molecules that do not bind appropriately, due to reliance on trial and error or random sequence generation, which are computationally expensive and limited by short sequence lengths.
Innovation Solution
An in silico mutagenesis process that simulates mutagenesis based on known binding interfaces, allowing for linear iteration and reduced computational resources to develop molecules and molecule groups that engage cell surface receptors effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial and error or random sequence generation methods are used to design molecules, then molecules can be generated to interact with cell surface receptors, but the process is slow, costly, and computationally expensive
Solution Approach 1:
The patent applies preliminary action by using known binding interfaces and structural information to pre-guide the molecular design process. Instead of random generation, the system pre-establishes constraints and templates based on existing receptor-ligand interaction data, allowing molecules to be designed with predetermined binding capabilities, thus reducing both time and computational resources while improving binding reliability
Solution Approach 2:
The patent employs parameter changes by systematically varying molecular parameters such as sequence length, amino acid composition, and structural features based on known binding interfaces. This directed parameter optimization replaces random search with systematic exploration of parameter space, achieving better binding reliability with reduced computational cost
2Adaptability or versatility
If random sequence generation is used to create molecules, then molecule diversity can be achieved, but sequence lengths are limited and computational resources are excessive
Solution Approach 1:
The patent applies segmentation by dividing the molecule design process into distinct segments: using known binding interfaces as templates, generating sequences based on these templates, and iteratively optimizing specific regions. This segmented approach allows exploration of diverse sequences without requiring exhaustive random sampling, reducing computational resources while maintaining molecule diversity
Solution Approach 2:
The patent employs universality by developing a design system that can handle multiple receptor types and molecular targets using the same underlying approach based on known binding interfaces. This universal methodology generates diverse molecules applicable to various targets without requiring separate computational resources for each case
3Productivity
If existing molecular design methods are used, then molecules can be generated, but they often do not bind appropriately to receptors
Solution Approach 1:
The patent applies feedback by using known binding interfaces and structural data to continuously refine and guide the molecular design process. The system incorporates feedback from established receptor-ligand interaction patterns to adjust design parameters, ensuring that generated molecules have improved binding affinity while maintaining rapid development throughput
Data Source
AI summary
Introduced here is an approach to developing molecules and molecule groups via a simulated mutagenesis process that is performed as part of in silico experimentation. Due to its initiation of the simulation based on a known binding interface or predicted binding interface between two structures—whether biological or synthetic—with known sequences, the approach introduced here can accomplish linear iteration of sequences. This can be accomplished whether these sequences relate to proteins, biological amino acids, synthetic amino acids, biological nucleic acids, synthetic nucleic acids, unnatural variants thereof, or any other molecules with a three-dimensional (“3D”) structure to evaluate the thermodynamic binding and affinity of the interaction as individual nucleic acids, amino acids or individual units of a polymer are mutated one at a time.