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).
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A machine learning approach uncovers principles and determinants of eukaryotic ribosome pausing.
PMID 39423268 · PMC11488575 · Science advances · 2024 · 8 claims · 5 setups
An unsupervised ML pipeline using the extended isolation forest (EIF) algorithm can reliably detect ribosome pausing sites from noisy, coverage-biased RiboSeq data across expression levels
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Has reproduction · 66
STAT3-dependent analysis reveals PDK4 as independent predictor of recurrence in prostate cancer.
PMID 32323921 · PMC7178451 · Molecular systems biology · 2020 · 8 claims · 6 setups
Low STAT3 expression in primary PCa is associated with increased OXPHOS and ribosomal biosynthesis at the transcriptomic level
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Has reproduction · 67
Assembly of Macromolecular Complexes in the Whole-Cell Model of a Minimal Cell.
PMID 41427637 · PMC12794154 · The journal of physical chemistry. B · 2026 · 8 claims · 6 setups
Assembly pathways for 21 unique macromolecular complexes (RNAP, ribosome, degradosome, ATP synthase, ABC transporters, etc.) were incorporated into the existing Syn3A whole-cell model
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Has reproduction · 84
A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling.
PMID 35729113 · PMC9213456 · Nature communications · 2022 · 7 claims · 5 setups
Developed a python-based, scalable model creation and simulation pipeline that converts structured text files into an SBML-standard model and is high-performance/cloud-computing ready.
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Systems biology and the host response to viral infection.
PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups
Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets