ArticleNature communications2018
Haplosaurus computes protein haplotypes for use in precision drug design.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
18 citing papers in PubMed.
- Genetic background shapes AI-predicted variant effects.bioRxiv : the preprint server for biology · 2026Article
- Sample-specific haplotype-resolved protein isoform characterization via long-read RNA-seq-based proteogenomics.bioRxiv : the preprint server for biology · 2026Article
- Article
- βmedRxiv : the preprint server for health sciences · 2025Article
- ProHap enables human proteomic database generation accounting for population diversity.Nature methods · 2025Article
- Computational Analysis of MDR1 Variants Predicts Effect on Cancer Cells via their Effect on mRNA Folding.PLoS computational biology · 2024Article
- Article
- The interplay between neoantigens and immune cells in sarcomas treated with checkpoint inhibition.Frontiers in immunology · 2023Article
- Finding haplotypic signatures in proteins.GigaScience · 2022Article
- Article
- Review
- Personalized HLA typing leads to the discovery of novel HLA alleles and tumor-specific HLA variants.HLA · 2022Article
- Accurate Prediction of Protein Sequences for Proteogenomics Data Integration.Methods in molecular biology (Clifton, N.J.) · 2022Article
- MtNPF6.5 mediates chloride uptake and nitrate preference in Medicago roots.The EMBO journal · 2021Article
- Bioinformatics: new tools and applications in life science and personalized medicine.Applied microbiology and biotechnology · 2021Review
- A Model of Minor Histocompatibility Antigens in Allogeneic Hematopoietic Cell Transplantation.Frontiers in immunology · 2021Article
- Duplication inGenes · 2020Article
- Ensembl variation resources.Database : the journal of biological databases and curation · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Selecting the most appropriate protein sequences is critical for precision drug design. Here we describe Haplosaurus, a bioinformatic tool for computation of protein haplotypes. Haplosaurus computes protein haplotypes from pre-existing chromosomally-phased genomic variation data. Integration into the Ensembl resource provides rapid and detailed protein haplotypes retrieval. Using Haplosaurus, we build a database of unique protein haplotypes from the 1000 Genomes dataset reflecting real-world protein sequence variability and their prevalence. For one in seven genes, their most common protein haplotype differs from the reference sequence and a similar number differs on their most common haplotype between human populations. Three case studies show how knowledge of the range of commonly encountered protein forms predicted in populations leads to insights into therapeutic efficacy. Haplosaurus and its associated database is expected to find broad applications in many disciplines using protein sequences and particularly impactful for therapeutics design.
Indexed as
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.