Michael D. Tyka

Molecular Biology · 2007–2017

A researcher in the Science corpus: 16 papers; trusts 13 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Michael D. Tyka trusts overall

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

  1. David Baker
  2. Carol A. Rohl
  3. Philip Bradley
  4. Roland L. Dunbrack
  5. Rhiju Das
  6. Kira M. S. Misura
  7. Charles E.M. Strauss
  8. M. Bower
  9. Hadley Wickham
  10. Daniel J. Mandell

Who trusts Michael D. Tyka overall

  1. Hahnbeom Park
  2. David Baker
  3. Sergey Ovchinnikov
  4. Frank DiMaio
  5. Pablo Gainza
  6. David E. Kim
  7. Julia Koehler Leman
  8. Enrique Marcos
  9. Namrata Anand
  10. Santrupti Nerli

Papers from Michael D. Tyka's perspective

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

  1. Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes.
  2. Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
  3. Alternate states of proteins revealed by detailed energy landscape mapping
  4. Atomic accuracy in predicting and designing non-canonical RNA structure
  5. Structure prediction for CASP7 targets using extensive all‐atom refinement with Rosetta@home
  6. Modeling structurally variable regions in homologous proteins with rosetta
  7. 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)
  8. Exploring protein native states and large‐scale conformational changes with a modified generalized born model (Proteins: Structure, Function, and Bioinformatics)
  9. Predicting protein structures with a multiplayer online game
  10. Algorithms for minimization without derivatives

Their papers