ProSight Native: Defining Protein Complex Composition from Native Top-Down Mass Spectrometry Data.
ProSight Native: Defining Protein Complex Composition from Native Top-Down Mass Spectrometry Data.
复制标题
ProSight Native:从原生自上而下质谱数据定义蛋白质复合物组成。
DOI:
10.1021/acs.jproteome.3c00171
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发表时间:
2023-08-04
影响因子:
4.4
通讯作者:
Kelleher, Neil L. L.
中科院分区:
文献类型:
--
作者:
Durbin, Kenneth R. R.;Robey, Matthew T. T.;Voong, Lilien N. N.;Fellers, Ryan T. T.;Lutomski, Corinne A. A.;El-Baba, Tarick J. J.;Robinson, Carol V. V.;Kelleher, Neil L. L.
关键词:
Native mass spectrometry has recently moved alongside traditional structural biology techniques in its ability to provide clear insights into the composition of protein complexes. However, to date, limited software tools are available for the comprehensive analysis of native mass spectrometry data on protein complexes, particularly for experiments aimed at elucidating the composition of an intact protein complex. Here, we introduce ProSight Native as a start-to-finish informatics platform for analyzing native protein and protein complex data. Combining mass determination via spectral deconvolution with a top-down database search and stoichiometry calculations, ProSight Native can determine the complete composition of protein complexes. To demonstrate its features, we used ProSight Native to successfully determine the composition of the homotetrameric membrane complex Aquaporin Z. We also revisited previously published spectra and were able to decipher the composition of a heterodimer complex bound with two noncovalently associated ligands. In addition to determining complex composition, we developed new tools in the software for validating native mass spectrometry fragment ions and mapping top-down fragmentation data onto three-dimensional protein structures. Taken together, ProSight Native will reduce the informatics burden on the growing field of native mass spectrometry, enabling the technology to further its reach.
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影响因子:
4.4
作者:
Bern M;Caval T;Kil YJ;Tang W;Becker C;Carlson E;Kletter D;Sen KI;Galy N;Hagemans D;Franc V;Heck AJR
通讯作者:
Heck AJR
影响因子:
64.8
作者:
Jumper J;Evans R;Pritzel A;Green T;Figurnov M;Ronneberger O;Tunyasuvunakool K;Bates R;Žídek A;Potapenko A;Bridgland A;Meyer C;Kohl SAA;Ballard AJ;Cowie A;Romera-Paredes B;Nikolov S;Jain R;Adler J;Back T;Petersen S;Reiman D;Clancy E;Zielinski M;Steinegger M;Pacholska M;Berghammer T;Bodenstein S;Silver D;Vinyals O;Senior AW;Kavukcuoglu K;Kohli P;Hassabis D
通讯作者:
Hassabis D
影响因子:
16
作者:
Choe KN;Moldovan GL
通讯作者:
Moldovan GL
影响因子:
7.4
作者:
Sipe, Sarah N.;Patrick, John W.;Brodbelt, Jennifer S.
通讯作者:
Brodbelt, Jennifer S.
影响因子:
5.8
作者:
Kou, Qiang;Xun, Likun;Liu, Xiaowen
通讯作者:
Liu, Xiaowen