Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues.

  PMID 37995291 · PMC10697738 · Bioinformatics (Oxford, England) · 2023 · 7 claims · 6 setups

  Has reproduction · 79

  CLSM6A, a CNN-based model set, predicts single-nucleotide-resolution m6A RNA modification sites across eight cell lines and three tissues in H. sapiens

  clsm6a learned last-layer computational model-based propagation-based

• Deep learning based protocol to construct an immune-related gene network of host-pathogen interactions in plants.

  PMID 36525344 · PMC9791427 · STAR protocols · 2023 · 6 claims · 6 setups

  Has reproduction · 96

  A deep-learning protocol (DLNet) ranks genes by their contribution to classifying treatment versus control expression data, identifying genes involved in host defense against pathogens.

  oryza rice merged top-ranked affymetrix microarray batch

• Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection.

  PMID 35072628 · PMC8887901 · eLife · 2022 · 8 claims · 3 setups

  Has reproduction · 57

  mRNA vaccination induces antibody binding to additional Spike epitopes (NTD and CTD in S1) beyond those seen after mild infection (FP and SH-H in S2)

  serum combined phage-dms principal

• Comparing the utility of in vivo transposon mutagenesis approaches in yeast species to infer gene essentiality.

  PMID 32681306 · PMC7599172 · Current genetics · 2020 · 7 claims · 7 setups

  Has reproduction · 81

  A Random Forest machine-learning approach can predict gene essentiality from in vivo transposon insertion data across multiple yeast species and transposon systems

  cerevisiae pombe albicans hermes acds piggybac

• Predicting the pathogenicity of missense variants using features derived from AlphaFold2.

  PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups

  Has reproduction · 85

  AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.

  gnomad alphafold2-predicted alphscore proteins machine secondary physicochemical

• In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs.

  PMID 33636127 · PMC7871767 · Cell · 2021 · 8 claims · 8 setups

  Has reproduction · 95

  icSHAPE was used to determine the in vivo and in vitro structural landscape of the SARS-CoV-2 RNA genome in infected Huh7.5.1 cells, plus UTR structures of six other coronaviruses

  huh7.5.1 sars-cov-2 utrs 18s icshape structure deep-learning