ReviewCurrent opinion in genetics & development2015
The language of the protein universe.
Review in Current opinion in genetics & development, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Uncovering the domain language of protein functionality and cell phenotypes using DANSy.bioRxiv : the preprint server for biology · 2025Article
- The dcGO Domain-Centric Ontology Database in 2023: New Website and Extended Annotations for Protein Structural Domains.Journal of molecular biology · 2023Article
- Contrastive learning in protein language space predicts interactions between drugs and protein targets.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Quantitative In Silico Evaluation of Allergenic Proteins fromCurrent issues in molecular biology · 2022Article
- BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models.Nucleic acids research · 2021Article
- Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling.Nature communications · 2021Article
- Targeted insertional mutagenesis libraries for deep domain insertion profiling.Nucleic acids research · 2020Article
- Grammar of protein domain architectures.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Order in Disorder as Observed by the "Hydrophobic Cluster Analysis" of Protein Sequences.Proteomics · 2018Review
- Unique function words characterize genomic proteins.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Secreted Cysteine-Rich Repeat Proteins "SCREPs": A Novel Multi-Domain Architecture.Frontiers in pharmacology · 2018Article
- Article
- Exploring the dark foldable proteome by considering hydrophobic amino acids topology.Scientific reports · 2017Article
- Lessons from making the Structural Classification of Proteins (SCOP) and their implications for protein structure modelling.Biochemical Society transactions · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Proteins, the main cell machinery which play a major role in nearly every cellular process, have always been a central focus in biology. We live in the post-genomic era, and inferring information from massive data sets is a steadily growing universal challenge. The increasing availability of fully sequenced genomes can be regarded as the 'Rosetta Stone' of the protein universe, allowing the understanding of genomes and their evolution, just as the original Rosetta Stone allowed Champollion to decipher the ancient Egyptian hieroglyphics. In this review, we consider aspects of the protein domain architectures repertoire that are closely related to those of human languages and aim to provide some insights about the language of proteins.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.