Mariia Novikova
2021
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Mariia Novikova's perspective
Ordered by how strongly the researchers Mariia Novikova trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly accurate protein structure prediction for the human proteome
- Highly accurate protein structure prediction with AlphaFold
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Harnessing protein folding neural networks for peptide–protein docking
- Basic local alignment search tool.
- The Protein Data Bank.
- Robustness–epistasis link shapes the fitness landscape of a randomly drifting protein
- lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests
- Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
- Local fitness landscape of the green fluorescent protein
Their papers
- Using AlphaFold to predict the impact of single mutations on protein stability and function (2021) — 283 citations