ArticleNature communications2021
Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
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Who cites it
15 citing papers in PubMed.
- The rise of agentic AI in drug discovery from static tools to autonomous virtual scientists.npj drug discovery · 2026Review
- The Open Molecular Software Foundation (OMSF) and the Growing Role of Open Source Software in Molecular Modeling.Journal of chemical information and modeling · 2026Review
- The open-source Masala software suite: Facilitating rapid methods development for synthetic heteropolymer design.bioRxiv : the preprint server for biology · 2025Article
- Growing Glycans in Rosetta: Accurate de novo glycan modeling, density fitting, and rational sequon design.PLoS computational biology · 2024Article
- Modeling membrane geometries implicitly in Rosetta.Protein science : a publication of the Protein Society · 2024Article
- Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins.PLoS computational biology · 2024Article
- Implicit model to capture electrostatic features of membrane environment.PLoS computational biology · 2024Article
- NMR and Docking Calculations Reveal Novel Atomistic Selectivity of a Synthetic High-Affinity Free Fatty Acid vs. Free Fatty Acids in Sudlow's Drug Binding Sites in Human Serum Albumin.Molecules (Basel, Switzerland) · 2023Article
- How is Big Data reshaping preclinical aging research?Lab animal · 2023Review
- Simultaneous selection of nanobodies for accessible epitopes on immune cells in the tumor microenvironment.Nature communications · 2023Article
- Interpreting the molecular mechanisms of disease variants in human transmembrane proteins.Biophysical journal · 2023Article
- Towards generalizable predictions for G protein-coupled receptor variant expression.Biophysical journal · 2022Article
- The future of Microbial Biotechnology.Microbial biotechnology · 2022Article
- Diverse Scientific Benchmarks for Implicit Membrane Energy Functions.Journal of chemical theory and computation · 2021Article
- MHCEpitopeEnergy, a Flexible Rosetta-Based Biotherapeutic Deimmunization Platform.Journal of chemical information and modeling · 2021Article
Corrections and comments
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Authors and funding
50 authors.
Funding
Abstract
Each year vast international resources are wasted on irreproducible research. The scientific community has been slow to adopt standard software engineering practices, despite the increases in high-dimensional data, complexities of workflows, and computational environments. Here we show how scientific software applications can be created in a reproducible manner when simple design goals for reproducibility are met. We describe the implementation of a test server framework and 40 scientific benchmarks, covering numerous applications in Rosetta bio-macromolecular modeling. High performance computing cluster integration allows these benchmarks to run continuously and automatically. Detailed protocol captures are useful for developers and users of Rosetta and other macromolecular modeling tools. The framework and design concepts presented here are valuable for developers and users of any type of scientific software and for the scientific community to create reproducible methods. Specific examples highlight the utility of this framework, and the comprehensive documentation illustrates the ease of adding new tests in a matter of hours.
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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.