Deep Green Unannotated Protein Structures
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.
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
Original Source
86e343ee-8c3f-4690-a562-8f1e71b2577cResearch Areas
Keywords
Donald Danforth Plant Science Center, unannotated proteins, protein structure, Arabidopsis thaliana, Setaria viridis, Chlamydomonas reinhardtii, energy crop, model species, green lineage, AlphaFoldDOE Project Details
Project Name Deep Green: Structural and Functional Genomic Characterization of Conserved Unannotated Green Lineage Proteins
Project Number ERW9098