Jeschek相关文献与解析，生知库 | 链接生命科学的每一步

Vornholt, Tobias; Stockinger, Peter; Mutný, Mojmír; Jeschek, Markus; Nestl, Bettina; Oberdorfer, Gustav; Osuna, Silvia; Pleiss, Jürgen; Welner, Ditte Hededam; Krause, Andreas; Buller, Rebecca; Ward, Thomas R

发表日期：2025

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Permeabilisation of the Outer Membrane of Escherichia coli for Enhanced Transport of Complex Molecules.

提高大肠杆菌外膜的通透性以增强复杂分子的运输

期刊:Microbial Biotechnology

影响因子:5.2

doi:10.1111/1751-7915.70122

Casas-Rodrigo Ivan, Vornholt Tobias, Castiglione Kathrin, Roberts Tania Michelle, Jeschek Markus, Ward Thomas R, Panke Sven

微生物学

发表日期：2025

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Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning

通过主动学习增强序列-活性映射和人工金属酶的进化

期刊:ACS Central Science

影响因子:10.4

doi:10.1021/acscentsci.4c00258

Vornholt, Tobias; Mutný, Mojmír; Schmidt, Gregor W; Schellhaas, Christian; Tachibana, Ryo; Panke, Sven; Ward, Thomas R; Krause, Andreas; Jeschek, Markus

发表日期：2024

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Ultradeep characterisation of translational sequence determinants refutes rare-codon hypothesis and unveils quadruplet base pairing of initiator tRNA and transcript

翻译序列决定因子的超深度表征驳斥了稀有密码子假说，并揭示了启动 tRNA 和转录本的四联体碱基配对

期刊:Nucleic Acids Research

影响因子:16.6

doi:10.1093/nar/gkad040

Simon Höllerer, Markus Jeschek

信号转导

发表日期：2023

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Systematic engineering of artificial metalloenzymes for new-to-nature reactions

人工金属酶的系统工程用于新自然反应

期刊:Science Advances

影响因子:11.7

doi:10.1126/sciadv.abe4208

Tobias Vornholt, Fadri Christoffel, Michela M Pellizzoni, Sven Panke, Thomas R Ward, Markus Jeschek

信号转导

发表日期：2021

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Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping

大规模基于 DNA 的表型记录和深度学习可实现高度精确的序列功能映射

期刊:Nature Communications

影响因子:14.7

doi:10.1038/s41467-020-17222-4

Simon Höllerer #, Laetitia Papaxanthos #, Anja Cathrin Gumpinger, Katrin Fischer, Christian Beisel, Karsten Borgwardt, Yaakov Benenson, Markus Jeschek

信号转导

发表日期：2020

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Chemo-enzymatic cascades to produce cycloalkenes from bio-based resources

化学酶级联从生物基资源中生产环烯烃

期刊:Nature Communications

影响因子:14.7

doi:10.1038/s41467-019-13071-y

Shuke Wu, Yi Zhou, Daniel Gerngross, Markus Jeschek, Thomas R Ward

信号转导

发表日期：2019

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Rationally reduced libraries for combinatorial pathway optimization minimizing experimental effort

合理精简的组合路径优化库可最大限度地减少实验工作量

期刊:Nature Communications

影响因子:15.7

doi:10.1038/ncomms11163

Jeschek, Markus; Gerngross, Daniel; Panke, Sven

发表日期：2016

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Paternal heat exposure causes DNA methylation and gene expression changes of Stat3 in Wild guinea pig sons.

父亲的热暴露会导致野生豚鼠雄性后代 Stat3 的 DNA 甲基化和基因表达改变

期刊:Ecology and Evolution

影响因子:2.3

doi:10.1002/ece3.1993

Weyrich Alexandra, Benz Stephanie, Karl Stephan, Jeschek Marie, Jewgenow Katarina, Fickel Joerns

Data-driven protease engineering by DNA-recording and epistasis-aware machine learning.

基于DNA记录和上位性感知机器学习的数据驱动型蛋白酶工程

Of Revolutions and Roadblocks: The Emerging Role of Machine Learning in Biocatalysis

革命与障碍：机器学习在生物催化领域的新兴作用

Permeabilisation of the Outer Membrane of Escherichia coli for Enhanced Transport of Complex Molecules.

提高大肠杆菌外膜的通透性以增强复杂分子的运输

Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning

通过主动学习增强序列-活性映射和人工金属酶的进化

Ultradeep characterisation of translational sequence determinants refutes rare-codon hypothesis and unveils quadruplet base pairing of initiator tRNA and transcript

翻译序列决定因子的超深度表征驳斥了稀有密码子假说，并揭示了启动 tRNA 和转录本的四联体碱基配对

Systematic engineering of artificial metalloenzymes for new-to-nature reactions

人工金属酶的系统工程用于新自然反应

Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping

大规模基于 DNA 的表型记录和深度学习可实现高度精确的序列功能映射

Chemo-enzymatic cascades to produce cycloalkenes from bio-based resources

化学酶级联从生物基资源中生产环烯烃

Rationally reduced libraries for combinatorial pathway optimization minimizing experimental effort

合理精简的组合路径优化库可最大限度地减少实验工作量

Paternal heat exposure causes DNA methylation and gene expression changes of Stat3 in Wild guinea pig sons.

父亲的热暴露会导致野生豚鼠雄性后代 Stat3 的 DNA 甲基化和基因表达改变