Structural Models and Sequence Alignment Results of the Desulfovibrio vulgaris Proteome

10.13139/ORNLNCCS/1988139

This dataset contains the structural models for the primary transcripts of the Desulfovibrio vulgaris proteome as well as sequence alignment results for a subset of the encoded proteins. For each protein, the five models inferred from AlphaFold 2 are provided. The largest pTM-scoring model for each protein was energy minimized; this minimized structure as well as its AlphaFold pickle output file are also provided. This set of structures represent an alternate source of models for the D. vulgaris proteome to those available in the AlphaFold Protein Structure Database (AFDB). This is a bit more complicated since the proteins reporting in the AFDB originate from an outdated form of the D. vulgaris sequence. The different versions of the D. vulgaris gene annotation are collected in the Chronology subdirectory; further consideration of these changes on the structural space of the proteome are currently underway. For proteins that have been annotated as hypothetical, sequence alignment results from the HHblits and SAdLSA alignment methods are provided. These methods are often more capable to resolve sequence homology than other methods. Therefore, the results from both HHblits and SAdLSA are provided to identify possible homologs for these challenging proteins. Numerous sequence databases are utilized for these alignments. References AlphaFold v2 Multimer: https://doi.org/10.1101/2021.10.04.463034. References HHblits: hhtps://doi.org/10.1186/s12859-019-3019-7. References SAdLSA: hhtps://doi.org/10.3389/fbinf.2021.689960.

Published: 2023-07-12 11:01:08 Download Dataset

Dataset Properties

Field Value
Authors
  • Davidson, Russell B Oak Ridge National Laboratory
  • Coletti, Mark Oak Ridge National Laboratory
  • Gao, Mu Georgia Tech
  • Sedova, Ada Oak Ridge National Laboratory
Project Identifier BIF135
Dataset Type ND Numeric Data
Subjects
  • 59 BASIC BIOLOGICAL SCIENCES
  • 74 ATOMIC AND MOLECULAR PHYSICS
  • 97 MATHEMATICS AND COMPUTING
Keywords
  • Protein Structure Prediction
  • Protein Sequence Alignment
  • Functional Annotation
Software Needed Python
Originating Organizations Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organizations Office of Science (SC);Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
DOE Contract ERKPA05, ERKP917
Related Identifiers
  • References (DOI) 10.1101/2021.10.04.463034
  • References (DOI) 10.1186/s12859-019-3019-7
  • References (DOI) 10.3389/fbinf.2021.689960

Acknowledgements

Papers using this dataset are requested to include the following text in their acknowledgements:

*Support for 10.13139/ORNLNCCS/1988139 is provided by the U.S. Department of Energy, project BIF135 under Contract ERKPA05, ERKP917. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.