ArticleBioinformatics (Oxford, England)2018
Learned protein embeddings for machine learning.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Hybrid artificial intelligence and quantum annealing as an optimization layer in drug discovery.Patterns (New York, N.Y.) · 2026Review
- Fast Generation of Simulation-Quality Structural Ensembles of Mixed-Chirality Cyclic Peptides via Diffusion Models.Journal of chemical theory and computation · 2026Article
- High-throughput prediction of enzyme promiscuity based on substrate-product pairs.Briefings in bioinformatics · 2024Article
- Kingdom-Wide Analysis of Fungal Protein-Coding and tRNA Genes Reveals Conserved Patterns of Adaptive Evolution.Molecular biology and evolution · 2022Article
- Clustering FunFams using sequence embeddings improves EC purity.Bioinformatics (Oxford, England) · 2021Article
- EMCBOW-GPCR: A method for identifying G-protein coupled receptors based on word embedding and wordbooks.Computational and structural biotechnology journal · 2021Article
- Representation learning applications in biological sequence analysis.Computational and structural biotechnology journal · 2021Review
- Artificial Intelligence Pipeline to Bridge the Gap between Bench Researchers and Clinical Researchers in Precision Medicine.Med one · 2020Article
- Article
- Deciphering protein evolution and fitness landscapes with latent space models.Nature communications · 2019Article
- Machine learning-assisted directed protein evolution with combinatorial libraries.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Gene2vec: distributed representation of genes based on co-expression.BMC genomics · 2019Article
Corrections and comments
- Erratum for
Authors and funding
4 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
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.