Melanie L. Aprahamian
Molecular Biology · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 292 citations into it
- Materials Chemistry — 139 citations into it
Whom Melanie L. Aprahamian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Melanie L. Aprahamian's perspective
Ordered by how strongly the researchers Melanie L. Aprahamian trusts endorse each paper. Same corpus, a different order for every researcher.
- Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
- T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
- Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
- Repurposing Citizen Science Games as Software Tools for Professional Scientists
- A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
- Can Self-Inhibitory Peptides be Derived from the Interfaces of Globular Protein-Protein Interactions?
- Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
- Efficient Sampling of Protein Conformational Space Using Fast Loop Building and Batch Minimization on Highly Parallel Computers
- Predicting the Tolerated Sequences for Proteins and Protein Interfaces Using RosettaBackrub Flexible Backbone Design
- Structure-based prediction of the peptide sequence space recognized by natural and synthetic PDZ domains.
Their papers
- Macromolecular modeling and design in Rosetta: recent methods and frameworks (2020) — 783 citations
- Utility of Covalent Labeling Mass Spectrometry Data in Protein Structure Prediction with Rosetta (2019) — 29 citations
- Rosetta Protein Structure Prediction from Hydroxyl Radical Protein Footprinting Mass Spectrometry Data (2018) — 54 citations