Alexander S. Rose
Molecular Biology · 2015–2021
A researcher in the Science corpus: 10 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 94 citations into it
- Materials Chemistry — 53 citations into it
- Artificial Intelligence — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Physical and Theoretical Chemistry — 7 citations into it
Whom Alexander S. Rose trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert M. Hanson
- Peter W. Rose
- Haim Ashkenazy
- Peter Werner Hildebrand
- Nicholas B Rego
- Marco Biasini
- Elana Erez
- Andreas Prlic
- David Ryan Koes
- Stefan Bienert
Who trusts Alexander S. Rose overall
- Jesse Vig
- Carlos H. M. Rodrigues
- Hai Nguyen
- Lukás Jendele
- Stephen K. Burley
- Yang Liu
- J. Jiménez
- Ali Madani
- Catherine L. Worth
- Antonina Andreeva
Papers from Alexander S. Rose's perspective
Ordered by how strongly the researchers Alexander S. Rose trusts endorse each paper. Same corpus, a different order for every researcher.
- The Protein Data Bank.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Basic local alignment search tool.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- The RCSB Protein Data Bank: views of structural biology for basic and applied research and education (Nucleic Acids Res.)
- NGL Viewer: a web application for molecular visualization
- SIFTS: Structure Integration with Function, Taxonomy and Sequences resource
- The Protein Data Bank
- Protein Data Bank Japan (PDBj): maintaining a structural data archive and resource description framework format
- Escher: A Web Application for Building, Sharing, and Embedding Data-Rich Visualizations of Biological Pathways (PLoS Comput. Biol.)
Their papers
- NGL viewer: web‐based molecular graphics for large complexes (2018) — 446 citations
- RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences (2020) — 1,313 citations
- Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures (2021) — 1,008 citations
- The RCSB protein data bank: integrative view of protein, gene and 3D structural information (2016) — 1,037 citations
- DeepSite: protein‐binding site predictor using 3D‐convolutional neural networks (2017) — 650 citations
- RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy (2018) — 1,101 citations
- MMTF—An efficient file format for the transmission, visualization, and analysis of macromolecular structures (2017) — 48 citations
- Bioconda: sustainable and comprehensive software distribution for the life sciences (2018) — 1,435 citations
- NGLview–interactive molecular graphics for Jupyter notebooks (2018) — 155 citations
- NGL Viewer: a web application for molecular visualization (2015) — 451 citations