Peptide Library Construction via Multisynthetic Oligonucleotide Synthesis
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Solution Overview
Problem
Current methods for designing and constructing diverse peptide and polypeptide libraries, such as antibody libraries, lack efficiency in generating highly diverse sequences, limiting their therapeutic potential.
Innovation Solution
A method involving the alignment of related amino acid sequences, application of filters, and analysis of positional amino acid usage frequencies to create datasets that allow for the synthesis of diverse libraries through multisynthetic oligonucleotide synthesis, enabling the generation of libraries with tailored diversity by adjusting threshold frequencies and incorporating specific filters like isotype, CDR sequences, and antigen binding properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional library construction methods are used, then the library can be constructed with basic diversity, but the diversity level and therapeutic potential are limited
Solution Approach 1:
The patent applies parameter changes by systematically varying multiple parameters simultaneously: selecting from multiple framework genes (VH1-VH7, VK1-VK4), varying CDR region lengths and compositions, adjusting amino acid substitution frequencies, and controlling light chain to heavy chain ratios. This multi-parameter optimization enables construction of libraries with precisely controlled diversity levels (e.g., 10^9 to 10^15 members) while maintaining constructability, directly resolving the contradiction between diversity and efficiency
Solution Approach 2:
The patent employs preliminary action through in silico design and analysis before physical library construction. Computational models predict library diversity, binding affinity distributions, and structural stability before synthesis. This preliminary computational work optimizes framework gene selections, CDR region designs, and amino acid substitution patterns in advance, enabling efficient construction of highly diverse libraries without trial-and-error experimentation
2Adaptability or versatility
If framework genes are selected to maximize diversity, then library diversity increases, but binding affinity and structural stability may be compromised
Solution Approach 1:
The patent resolves this contradiction through parameter changes by establishing optimal ranges for framework gene selections (using consensus sequences from VH1-VH7 and VK1-VK4), controlling CDR region lengths within specific ranges, and adjusting amino acid substitution frequencies to maintain structural integrity. These parameter optimizations ensure that diverse sequences maintain binding affinity and stability
Solution Approach 2:
The patent implements feedback mechanisms through in silico analysis that evaluates predicted binding affinities, structural stabilities, and diversity metrics before final library construction. Computational models provide feedback on framework gene combinations and CDR designs, allowing optimization of sequences that simultaneously achieve high diversity and maintain functional reliability, thereby resolving the trade-off between diversity and binding affinity
Data Source
AI summary
The present invention concerns the design and construction of diverse peptide and polypeptide libraries. In particular, the invention concerns methods of analytical database design for creating datasets using multiple relevant parameters as filters, and methods for generating sequence diversity by directed multisyntheses oligonucleotide synthesis. The present methods enable the reduction of large complex annotated databases to simpler datasets of related sequences, based upon relevant single or multiple key parameters that can be individually directly defined. The methods further enable the creation of diverse libraries based on this approach, using multisynthetic collections of discrete and degenerate oligonucleotides to capture the diverse collection of sequences, or portions thereof.