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).

• High-resolution profiling of pathways of escape for SARS-CoV-2 spike-binding antibodies.

  PMID 34010620 · PMC8096189 · Cell · 2021 · 7 claims · 3 setups

  Has reproduction · 87

  Phage-DMS comprehensively maps the effect of all possible single mutations across the SARS-CoV-2 spike protein on polyclonal plasma antibody binding, defining antibody escape pathways.

  phage-displayed covid-19 pseudotyped phage-dms elisa pseudovirus

• maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

  PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups

  Has reproduction · 98

  maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors

  lines hepg2 types single chip-seq omni-atac-seq atac-seq

• QTLs for heat-induced stomatal anatomy underpin gas exchange variation in field-grown wheat.

  PMID 42231893 · PMC13223016 · Frontiers in plant science · 2026 · 8 claims · 6 setups

  Has reproduction · 100

  Heat stress via delayed sowing reduces stomatal conductance (gs) and gas exchange efficiency (gse) despite unchanged theoretical maximum anatomical conductance (gsmax), revealing a decoupling of structural potential and physiological performance under stress.

  field-grown microscope wheat field stomatal in-field deep

• Predicting Bone Metastasis Using Gene Expression-Based Machine Learning Models.

  PMID 34858485 · PMC8631472 · Frontiers in genetics · 2021 · 8 claims · 5 setups

  Has reproduction · 62

  A DNN model built on 34 top-ranked hub genes achieves the highest prediction accuracy (AUC 92.11%) for distinguishing primary from bone-metastasized tumors

  breast degs geo tcga microarray protein-protein machine

• 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