A multiplexed bacterial two-hybrid for rapid characterization of protein-protein interactions and iterative protein design.
A multiplexed bacterial two-hybrid for rapid characterization of protein-protein interactions and iterative protein design.
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DOI:
10.1038/s41467-023-38697-x
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发表时间:
2023-08-02
影响因子:
16.6
通讯作者:
Kosuri S
中科院分区:
文献类型:
--
作者:
Boldridge WC;Ljubetič A;Kim H;Lubock N;Szilágyi D;Lee J;Brodnik A;Jerala R;Kosuri S
Protein-protein interactions (PPIs) are crucial for biological functions and have applications ranging from drug design to synthetic cell circuits. Coiled-coils have been used as a model to study the sequence determinants of specificity. However, building well-behaved sets of orthogonal pairs of coiled-coils remains challenging due to inaccurate predictions of orthogonality and difficulties in testing at scale. To address this, we develop the next-generation bacterial two-hybrid (NGB2H) method, which allows for the rapid exploration of interactions of programmed protein libraries in a quantitative and scalable way using next-generation sequencing readout. We design, build, and test large sets of orthogonal synthetic coiled-coils, assayed over 8,000 PPIs, and used the dataset to train a more accurate coiled-coil scoring algorithm (iCipa). After characterizing nearly 18,000 new PPIs, we identify to the best of our knowledge the largest set of orthogonal coiled-coils to date, with fifteen on-target interactions. Our approach provides a powerful tool for the design of orthogonal PPIs. Protein-protein interactions (PPIs) are crucial for biological functions and have applications ranging from drug design to synthetic cell circuits. Here the authors develop an assay and computational methods to identify more orthogonal coiled-coil pairs, critical for biological processes and drug design.
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影响因子:
16.6
作者:
Aupič J;Strmšek Ž;Lapenta F;Pahovnik D;Pisanski T;Drobnak I;Ljubetič A;Jerala R
通讯作者:
Jerala R
DOI:
10.31449/inf.v43i1.2693
发表时间:
2019-03-01
期刊:
INFORMATICA-AN INTERNATIONAL JOURNAL OF COMPUTING AND INFORMATICS
影响因子:
--
作者:
Brodnik, Andrej;Palangetic, Marko;Jovicic, Vladan
通讯作者:
Jovicic, Vladan
影响因子:
56.9
作者:
Chen, Zibo;Kibler, Ryan D.;Baker, David
通讯作者:
Baker, David
影响因子:
15
作者:
Drobnak, Igor;Gradisar, Helena;Jerala, Roman
通讯作者:
Jerala, Roman
影响因子:
14.9
作者:
Sidore, Angus M.;Plesa, Calin;Kosuri, Sriram
通讯作者:
Kosuri, Sriram