Thomas Hamelryck
2009–2010
A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Thomas Hamelryck trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Manfred J. Sippl
- Paul D. Thomas
- Ram Samudrala
- K. Simons
- Walter R. Gilks
- Huaiyu Zhu
- John Moult
- Harold A. Scheraga
- D. Chandler
Who trusts Thomas Hamelryck overall
Papers from Thomas Hamelryck's perspective
Ordered by how strongly the researchers Thomas Hamelryck trusts endorse each paper. Same corpus, a different order for every researcher.
- A method to identify protein sequences that fold into a known three-dimensional structure.
- Calculation of conformational ensembles from potentials of mean force. An approach to the knowledge-based prediction of local structures in globular proteins.
- A new approach to protein fold recognition
- Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation
- An all-atom distance-dependent conditional probability discriminatory function for protein structure prediction.
- Statistical potentials extracted from protein structures: how accurate are they?
- Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.
- Medium- and long-range interaction parameters between amino acids for predicting three-dimensional structures of proteins.
- Principles that govern the folding of protein chains.
- Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction
Their papers
- Potentials of Mean Force for Protein Structure Prediction Vindicated, Formalized and Generalized (2010) — 80 citations
- Biopython: freely available Python tools for computational molecular biology and bioinformatics (2009) — 5,571 citations