M. Pacella

Molecular Biology · 2013–2020

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Pacella trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew Leaver-Fay
  2. Jeffrey J. Gray
  3. David Baker
  4. Michael D. Tyka

Who trusts M. Pacella overall

  1. Siva Dasetty
  2. Paul J. Meza-Morales
  3. Rachel B. Getman

Papers from M. Pacella's perspective

Ordered by how strongly the researchers M. Pacella trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Alternate states of proteins revealed by detailed energy landscape mapping
  2. Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
  3. Computational design of proteins targeting the conserved stem region of influenza hemagglutinin
  4. Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes
  5. T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer
  6. Systematic Comparison of Amber and Rosetta Energy Functions for Protein Structure Evaluation.
  7. Repurposing Citizen Science Games as Software Tools for Professional Scientists
  8. A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes
  9. Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
  10. Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules

Their papers