Dimitri Gilis

Molecular Biology · 1997–2013

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 41 citations into it; #3,918 of 17,773 by trust here, #8,905 by citations
• Materials Chemistry — 17 citations into it
• Computational Biology & Bioinformatics — 8 citations into it
• Computational Theory and Mathematics — 6 citations into it; #9,303 of 12,182 by trust here, #4,696 by citations
• Spectroscopy — 5 citations into it

Whom Dimitri Gilis trusts overall

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

1. S. Parasuraman
2. Yves Dehouck
3. William C. Wimley
4. Hongyi Zhou
5. Marianne Rooman
6. W. Kabsch
7. Vijaya Parthiban

Who trusts Dimitri Gilis overall

1. Yves Dehouck
2. Sahand Hormoz
3. Björn Wallner
4. Arne Elofsson
5. Douglas E. V. Pires
6. Marianne Rooman
7. Jean Marc Kwasigroch
8. Lijun Quan
9. Feng Zhao
10. Rhys Heffernan

Papers from Dimitri Gilis's perspective

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

1. The Protein Data Bank.
2. Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
3. Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction
4. Principles of protein-protein interactions (European Conference on Computational Biology)
5. Prediction of protein stability changes for single‐site mutations using support vector machines
6. Selection of representative protein data sets
7. Protein data bank
8. Predicting protein stability changes upon mutation using database-derived potentials: solvent accessibility determines the importance of local versus non-local interactions along the sequence.
9. Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing
10. The Protein Data Bank: a computer-based archival file for macromolecular structures.

Their papers

• Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0 (2009) — 399 citations
• PoPMuSiC 2.1: a web server for the estimation of protein stability changes upon mutation and sequence optimality (2011) — 527 citations
• Optimality of the genetic code with respect to protein stability and amino-acid frequencies (2001) — 202 citations
• Enhancing the stability and solubility of TEV protease using in silico design (2007) — 168 citations
• BeAtMuSiC: prediction of changes in protein–protein binding affinity on mutations (2013) — 327 citations
• Predicting protein stability changes upon mutation using database-derived potentials: solvent accessibility determines the importance of local versus non-local interactions along the sequence. (1997)