Proteomics Standards Initiative's ProForma 2.0: Unifying the Encoding of Proteoforms and Peptidoforms.
Proteomics Standards Initiative's ProForma 2.0: Unifying the Encoding of Proteoforms and Peptidoforms.
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DOI:
10.1021/acs.jproteome.1c00771
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发表时间:
2022-04-01
影响因子:
4.4
通讯作者:
Vizcaíno JA
中科院分区:
文献类型:
--
作者:
LeDuc RD;Deutsch EW;Binz PA;Fellers RT;Cesnik AJ;Klein JA;Van Den Bossche T;Gabriels R;Yalavarthi A;Perez-Riverol Y;Carver J;Bittremieux W;Kawano S;Pullman B;Bandeira N;Kelleher NL;Thomas PM;Vizcaíno JA
It is important for the proteomics community to have a standardized manner to represent all possible variations of a protein or peptide primary sequence, including natural, chemically-induced and artifactual modifications. The Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) in collaboration with several members of the Consortium for Top-Down Proteomics (CTDP) has developed a standard notation called ProForma 2.0, which is a substantial extension of the original ProForma notation developed by the CTDP. ProForma 2.0 aims to unify the representation of proteoforms and peptidoforms. ProForma 2.0 supports use cases needed for bottom-up and middle-/top-down proteomics approaches and allows the encoding of highly modified proteins and peptides using a human-and machine-readable string. ProForma 2.0 can be used to represent protein modifications in a specified or ambiguous location, designated by mass shifts, chemical formulas, or controlled vocabulary terms, including cross-links (natural and chemical), and atomic isotopes. Notational conventions are based on public controlled vocabularies and ontologies. The most up-to-date full specification document and information about software implementations are available at http://psidev.info/proforma.
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DOI:
10.1074/mcp.m117.068429
发表时间:
2017-07
期刊:
Molecular & cellular proteomics : MCP
影响因子:
--
作者:
Vizcaíno JA;Mayer G;Perkins S;Barsnes H;Vaudel M;Perez-Riverol Y;Ternent T;Uszkoreit J;Eisenacher M;Fischer L;Rappsilber J;Netz E;Walzer M;Kohlbacher O;Leitner A;Chalkley RJ;Ghali F;Martínez-Bartolomé S;Deutsch EW;Jones AR
通讯作者:
Jones AR
影响因子:
4.4
作者:
Binz, Pierre-Alain;Shofstahl, Jim;Deutsch, Eric W.
通讯作者:
Deutsch, Eric W.
影响因子:
4.4
作者:
Levitsky, Lev I.;Klein, Joshua A.;Gorshkov, Mikhail V.
通讯作者:
Gorshkov, Mikhail V.
影响因子:
16.6
作者:
Dai C;Füllgrabe A;Pfeuffer J;Solovyeva EM;Deng J;Moreno P;Kamatchinathan S;Kundu DJ;George N;Fexova S;Grüning B;Föll MC;Griss J;Vaudel M;Audain E;Locard-Paulet M;Turewicz M;Eisenacher M;Uszkoreit J;Van Den Bossche T;Schwämmle V;Webel H;Schulze S;Bouyssié D;Jayaram S;Duggineni VK;Samaras P;Wilhelm M;Choi M;Wang M;Kohlbacher O;Brazma A;Papatheodorou I;Bandeira N;Deutsch EW;Vizcaíno JA;Bai M;Sachsenberg T;Levitsky LI;Perez-Riverol Y
通讯作者:
Perez-Riverol Y
影响因子:
48
作者:
Deutsch EW;Perez-Riverol Y;Carver J;Kawano S;Mendoza L;Van Den Bossche T;Gabriels R;Binz PA;Pullman B;Sun Z;Shofstahl J;Bittremieux W;Mak TD;Klein J;Zhu Y;Lam H;Vizcaíno JA;Bandeira N
通讯作者:
Bandeira N