DNA 3.0: Developing novel enzymes for DNA synthesis with deep learning and combinatorial genetics

DNA 3.0:利用深度学习和组合遗传学开发用于 DNA 合成的新型酶

基本信息

  • 批准号:
    10304760
  • 负责人:
  • 金额:
    $ 5.2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-03-17 至 2022-01-15
  • 项目状态:
    已结题

项目摘要

Project Summary/Abstract DNA synthesis has played a key role in the biotechnology revolution. The ready availability of synthetic DNA oligonucleotides and of genes assembled from them, has been invaluable for elucidating and unlocking biological function and enabling the new field of synthetic biology which can create novel cells, enzymes, therapeutics, diagnostics and other reagents of commercial value. Despite this impact, DNA synthesis uses chemical strategies developed over 30 years ago which are costly and limited to molecules of 200 nucleotides or less in length. Next-generation enzymatic DNA synthesis technologies are being explored that use template- independent DNA polymerases (TIDPs) for controlled addition of nucleotides to a growing DNA strand. Although advances have been reported recently, enzymatic DNA synthesis is still limited by the low efficiency of available TIDPs, and specifically by the relative inability of these polymerases to incorporate 3'-blocked nucleotides. In this Phase I Small Business Innovation Research (SBIR) project, Primordial Genetics Inc, a synthetic biology company with differentiated combinatorial genetic technology, and Denovium Inc., an artificial intelligence company pioneering novel Al methods for genetic discovery, are joining forces to develop novel and highly efficient TIDPs for enzymatic DNA synthesis in vitro. Denovium will use their computational capabilities based on machine learning algorithms to discover novel TIDPs with the desired activities from proprietary and public databases. Denovium will also perform proprietary artificial intelligence (AI) scans to determine the functional impact of all possible mutations on the selected TIDPs. Primordial Genetics will synthesize and express the resulting collection of sequences, and test them in vitro to identify the most active enzymes. The best 2 enzymes will be diversified using Primordial Genetics' proprietary Function Generator technology and other randomized diversification methods. Populations of genes encoding enzyme variants will be screened with ultra-high-throughput screens to identify the most active enzymes. The dataset resulting from this work will be used to train Denovium's sequence prediction algorithm to accelerate further enzyme improvements in Phase II. The proposed work is a feasibility study for isolating and developing novel enzymes suitable for enzymatic DNA synthesis, and also for creating a pipeline of enzyme optimization tools. The enzymes discovered and in this work will be directly useful for enzymatic DNA synthesis applications, and can be licensed or sold to leading DNA and gene manufaturers.
项目总结/文摘

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Helge Zieler其他文献

Helge Zieler的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Helge Zieler', 18)}}的其他基金

DNA 3.0: Development of a novel, efficient and cost-effective enzymatic process for synthesis of DNA oligonucleotides
DNA 3.0:开发一种新颖、高效且​​具有成本效益的 DNA 寡核苷酸合成酶法
  • 批准号:
    10614066
  • 财政年份:
    2020
  • 资助金额:
    $ 5.2万
  • 项目类别:
DNA 3.0: Developing novel enzymes for DNA synthesis with deep learning and combinatorial genetics
DNA 3.0:利用深度学习和组合遗传学开发用于 DNA 合成的新型酶
  • 批准号:
    10010243
  • 财政年份:
    2020
  • 资助金额:
    $ 5.2万
  • 项目类别:
Development of superior polymerases for next-generation mRNA therapeutic & vaccine manufacturing
开发用于下一代 mRNA 治疗的优质聚合酶
  • 批准号:
    10229603
  • 财政年份:
    2018
  • 资助金额:
    $ 5.2万
  • 项目类别:
Development of superior polymerases for next-generation mRNA therapeutic & vaccine manufacturing
开发用于下一代 mRNA 治疗的优质聚合酶
  • 批准号:
    10082063
  • 财政年份:
    2018
  • 资助金额:
    $ 5.2万
  • 项目类别:

相似海外基金

Nitrous Oxide Management in a Novel Biological Process
新型生物过程中的一氧化二氮管理
  • 批准号:
    2789227
  • 财政年份:
    2023
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Studentship
Dynamic regulation of RNA modification and biological process
RNA修饰和生物过程的动态调控
  • 批准号:
    18H05272
  • 财政年份:
    2018
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Grant-in-Aid for Scientific Research (S)
Micro-Scale Biological Process Automation: Modelling, Sensing and Control
微尺度生物过程自动化:建模、传感和控制
  • 批准号:
    42116-2013
  • 财政年份:
    2017
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Discovery Grants Program - Individual
Micro-Scale Biological Process Automation: Modelling, Sensing and Control
微尺度生物过程自动化:建模、传感和控制
  • 批准号:
    42116-2013
  • 财政年份:
    2016
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Discovery Grants Program - Individual
Organizing the Waterloo Biofilter biological process for treating wastewater concentrated by extreme water conservation plumbing
组织滑铁卢生物过滤器生物工艺处理通过极端节水管道浓缩的废水
  • 批准号:
    479764-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Engage Grants Program
Micro-Scale Biological Process Automation: Modelling, Sensing and Control
微尺度生物过程自动化:建模、传感和控制
  • 批准号:
    42116-2013
  • 财政年份:
    2015
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Biological Process for VOC treatment
VOC处理生物工艺的开发
  • 批准号:
    476672-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Experience Awards (previously Industrial Undergraduate Student Research Awards)
Micro-Scale Biological Process Automation: Modelling, Sensing and Control
微尺度生物过程自动化:建模、传感和控制
  • 批准号:
    42116-2013
  • 财政年份:
    2014
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Discovery Grants Program - Individual
Optimization of a biological process treating winery wastewater: anaerobic digestion integrated with Waterloo biofilter
处理酿酒厂废水的生物工艺优化:厌氧消化与滑铁卢生物过滤器集成
  • 批准号:
    463193-2014
  • 财政年份:
    2014
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Engage Grants Program
Micro-Scale Biological Process Automation: Modelling, Sensing and Control
微尺度生物过程自动化:建模、传感和控制
  • 批准号:
    42116-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 5.2万
  • 项目类别:
    Discovery Grants Program - Individual
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了