Marianne Rooman

Molecular Biology · 1997–2017

A researcher in the Science corpus: 8 papers; trusts 12 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 71 citations into it; #3,919 of 17,773 by trust here, #8,381 by citations
• Materials Chemistry — 22 citations into it
• Computational Biology & Bioinformatics — 16 citations into it
• Spectroscopy — 9 citations into it
• Computational Theory and Mathematics — 7 citations into it; #9,304 of 12,182 by trust here, #4,696 by citations

Whom Marianne Rooman trusts overall

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

1. S. Parasuraman
2. Yves Dehouck
3. Dimitri Gilis
4. Yanay Ofran
5. Kurt S. Thorn

Who trusts Marianne Rooman overall

1. Yves Dehouck
2. Björn Wallner
3. Douglas E. V. Pires
4. Dimitri Gilis
5. Sahand Hormoz
6. Arne Elofsson
7. Jeffrey R. Brender
8. Lijun Quan

Papers from Marianne Rooman's perspective

Ordered by how strongly the researchers Marianne Rooman 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. Principles of protein-protein interactions (European Conference on Computational Biology)
4. Distance‐scaled, finite ideal‐gas reference state improves structure‐derived potentials of mean force for structure selection and stability prediction
5. Protein data bank
6. Prediction of protein stability changes for single‐site mutations using support vector machines
7. Selection of representative protein data sets
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. Unraveling hot spots in binding interfaces: progress and challenges. (Current Opinion in Structural Biology)
10. CUPSAT: prediction of protein stability upon point mutations (Nucleic Acids Res.)

Their papers

• Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0 (2009) — 399 citations
• DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins (2017) — 176 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
• Community‐wide evaluation of methods for predicting the effect of mutations on protein–protein interactions (2013) — 102 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)