"Womp Womp! Your browser does not support canvas :'("

Deep Green Unannotated Protein Structures

Publicly accessible License 

The Deep Green list is based on the identification and curation of conserved unannotated proteins in three green lineage (Viridiplantae) model organisms; Arabidopsis thaliana, Chlamydomonas reinhardtii, and Setaria viridis. Preliminary characterization of Deep Green proteins and genes was done using various informatics tools and published data sets and is presented in Knoshaug, Sun, et al., 2023, submitted. The structures of these unannotated proteins were also predicted using AlphaFold (Jumper et al., 2021). The data deposited here are the AlphaFold structural predictions having the highest pLDDT score and thus identified as the best folded structure (ranked_0). These data enable others to do in-depth structural characterizations to aid in functional characterization leading to deeper understanding of plant biology.


References:
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., ?ídek, A., Potapenko, A., Bridgland, A., Meyer, C., Kohl, S. A. A., Ballard, A. J., 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, A. W., Kavukcuoglu, K., Kohli, P. and Hassabis, D. (2021) Highly accurate protein structure prediction with AlphaFold. Nature, 596:583-589.

Knoshaug, E. P., Sun, P., Nag, A., Nguyen, H., Mattoon, E. M., Zhang, N., Liu, J., Chen, C., Cheng, J., Zhang, R., St. John, P., and Umen, J. (submitted) Identification and preliminary characterization of conserved uncharacterized proteins from Chlamydomonas reinhardtii, Arabidopsis thaliana, and Setaria viridis.

Citation Formats

Biosciences Center. (2023). Deep Green Unannotated Protein Structures [data set]. Retrieved from 86e343ee-8c3f-4690-a562-8f1e71b2577c.
Export Citation to RIS
Knoshaug, , Sun, , Nag, , Nguyen, , Mattoon, , Zhang, , Liu, , Chen, , Cheng, , Zhang, , St. John, , and Umen, . Deep Green Unannotated Protein Structures. United States: N.p., 20 Apr, 2023. Web. 86e343ee-8c3f-4690-a562-8f1e71b2577c.
Knoshaug, , Sun, , Nag, , Nguyen, , Mattoon, , Zhang, , Liu, , Chen, , Cheng, , Zhang, , St. John, , & Umen, . Deep Green Unannotated Protein Structures. United States. 86e343ee-8c3f-4690-a562-8f1e71b2577c
Knoshaug, , Sun, , Nag, , Nguyen, , Mattoon, , Zhang, , Liu, , Chen, , Cheng, , Zhang, , St. John, , and Umen, . 2023. "Deep Green Unannotated Protein Structures". United States. 86e343ee-8c3f-4690-a562-8f1e71b2577c.
@div{oedi_6410, title = {Deep Green Unannotated Protein Structures}, author = {Knoshaug, , Sun, , Nag, , Nguyen, , Mattoon, , Zhang, , Liu, , Chen, , Cheng, , Zhang, , St. John, , and Umen, .}, abstractNote = {The Deep Green list is based on the identification and curation of conserved unannotated proteins in three green lineage (Viridiplantae) model organisms; Arabidopsis thaliana, Chlamydomonas reinhardtii, and Setaria viridis. Preliminary characterization of Deep Green proteins and genes was done using various informatics tools and published data sets and is presented in Knoshaug, Sun, et al., 2023, submitted. The structures of these unannotated proteins were also predicted using AlphaFold (Jumper et al., 2021). The data deposited here are the AlphaFold structural predictions having the highest pLDDT score and thus identified as the best folded structure (ranked_0). These data enable others to do in-depth structural characterizations to aid in functional characterization leading to deeper understanding of plant biology.


References:
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., ?ídek, A., Potapenko, A., Bridgland, A., Meyer, C., Kohl, S. A. A., Ballard, A. J., 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, A. W., Kavukcuoglu, K., Kohli, P. and Hassabis, D. (2021) Highly accurate protein structure prediction with AlphaFold. Nature, 596:583-589.

Knoshaug, E. P., Sun, P., Nag, A., Nguyen, H., Mattoon, E. M., Zhang, N., Liu, J., Chen, C., Cheng, J., Zhang, R., St. John, P., and Umen, J. (submitted) Identification and preliminary characterization of conserved uncharacterized proteins from Chlamydomonas reinhardtii, Arabidopsis thaliana, and Setaria viridis.
}, doi = {}, url = {86e343ee-8c3f-4690-a562-8f1e71b2577c}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {04}}

Details

Data from Apr 20, 2023

Last updated Dec 18, 2024

Submitted Apr 20, 2023

Organization

Biosciences Center

Contact

Eric Knoshaug

Authors

Knoshaug

Biosciences Center

Sun

Donald Danforth Plant Science Center

Nag

Computational Science

Nguyen

Donald Danforth Plant Science Center

Mattoon

Donald Danforth Plant Science Center

Zhang

Donald Danforth Plant Science Center

Liu

University of Missouri - Columbia

Chen

University of Missouri - Columbia

Cheng

University of Missouri - Columbia

Zhang

Donald Danforth Plant Science Center

St. John

NREL, now at NVIDIA Corp.

Umen

Donald Danforth Plant Sciences Center

Research Areas

DOE Project Details

Project Name Deep Green: Structural and Functional Genomic Characterization of Conserved Unannotated Green Lineage Proteins

Project Number ERW9098

Share

Submission Downloads