密码子优化

We have moved beyond simple codon frequency tables. Our new algorithm prioritizes biological expression by focusing on:

• mRNA Stability
• Secondary Structure
• Ribosome Processivity

We have decoupled manufacturability parameters from the core optimization to focus primarily on protein expression. However, if the algorithm cannot find a manufacturable solution, it will automatically attempt to fix localized regions of extreme complexity. We do this while minimizing any impact on the expression profile.

Important: While we optimize for the best possible DNA composition, please remember that protein expression is multifactorial; DNA sequence is just one of many variables influencing your final yield.

目前，我们无法合成评级为“不可能”的基因。导致我们的算法将基因评级为“不可能”的因素有多种，而每个基因序列的具体参数是唯一的。我们的算法为专有算法，是利用机器学习开发的。除机器学习外，我们的算法还考虑了以下因素：

• GC 百分比在 25%-65% 之间
• 最大均聚物长度 <10
• 低同源性

以上因素的任意独特组合会导致特定基因序列被评为“不可能”。

Twist supports over 150 organisms, including most frequently used organisms such as E. coli, human, CHO, mouse and yeast.