ArticleJournal of molecular modeling2012
Structure-based functional inference of hypothetical proteins from Mycoplasma hyopneumoniae.
Article in Journal of molecular modeling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- In Silico Design and Characterization of a Multi-Epitope Vaccine Candidate AgainstMicroorganisms · 2026Article
- Prediction of virulence factors in bacterial hypothetical proteins.Archives of microbiology · 2025Article
- In-Silico Functional Annotation ofFrontiers in genetics · 2022Article
- Functional Annotation and Curation of Hypothetical Proteins Present in A Newly Emerged Serotype 1c ofGenes · 2020Article
- Functional Prediction and Assignment ofFrontiers in genetics · 2020Article
- Designing of an epitope-based peptide vaccine against walking pneumonia: an immunoinformatics approach.Molecular biology reports · 2019Article
- Crystal structure of the MSMEG_4306 gene product from Mycobacterium smegmatis.Acta crystallographica. Section F, Structural biology communications · 2018Article
- Towards New Drug Targets? Function Prediction of Putative Proteins of Neisseria meningitidis MC58 and Their Virulence Characterization.Omics : a journal of integrative biology · 2015Article
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Enzootic pneumonia caused by Mycoplasma hyopneumoniae is a major constraint to efficient pork production throughout the world. This pathogen has a small genome with 716 coding sequences, of which 418 are homologous to proteins with known functions. However, almost 42% of the 716 coding sequences are annotated as hypothetical proteins. Alternative methodologies such as threading and comparative modeling can be used to predict structures and functions of such hypothetical proteins. Often, these alternative methods can answer questions about the properties of a model system faster than experiments. In this study, we predicted the structures of seven proteins annotated as hypothetical in M. hyopneumoniae, using the structure-based approaches mentioned above. Three proteins were predicted to be involved in metabolic processes, two proteins in transcription and two proteins where no function could be assigned. However, the modeled structures of the last two proteins suggested experimental designs to identify their functions. Our findings are important in diminishing the gap between the lack of annotation of important metabolic pathways and the great number of hypothetical proteins in the M. hyopneumoniae genome.
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