L. Nivón
Molecular Biology · 2000–2023
A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 116 citations into it; #7,026 of 17,773 by trust here, #6,960 by citations
- Materials Chemistry — 65 citations into it; #5,267 of 11,513 by trust here, #7,794 by citations
- Computational Biology & Bioinformatics — 54 citations into it
- Spectroscopy — 16 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom L. Nivón trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Leaver-Fay
- Florian Richter
- David Baker
- Michael D. Tyka
- Chris King
- Yifan Song
- Chu Wang
- Zheng Zhang
- Philip Bradley
- Sagar D. Khare
Who trusts L. Nivón overall
- Brian D. Weitzner
- Alex Ford
- Namrata Anand-Achim
- J. Jeliazkov
- Raphael R. Eguchi
- Namrata Anand
- M. J. Kim
- Jared Adolf-Bryfogle
- Aleksei Aksimentiev
- Cees Dekker
Papers from L. Nivón's perspective
Ordered by how strongly the researchers L. Nivón trusts endorse each paper. Same corpus, a different order for every researcher.
- Alternate states of proteins revealed by detailed energy landscape mapping
- ROSETTALIGAND: Protein–small molecule docking with full side‐chain flexibility
- De Novo Computational Design of Retro-Aldol Enzymes
- Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules
- Improved side‐chain modeling for protein–protein docking
- Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. (Journal of Molecular Biology)
- Native protein sequences are close to optimal for their structures.
- New algorithms and an in silico benchmark for computational enzyme design (Protein Science)
- Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction
- De Novo Enzyme Design Using Rosetta3 (PLoS ONE)
Their papers
- De novo design of a non-local β-sheet protein with high stability and accuracy (2018) — 107 citations
- A Pareto-Optimal Refinement Method for Protein Design Scaffolds (2013) — 298 citations
- Rapid nanopore discrimination between single polynucleotide molecules. (2000) — 867 citations
- Voltage-driven DNA translocations through a nanopore. (2001) — 745 citations
- OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization (2023) — 435 citations
- Automating human intuition for protein design (2014) — 22 citations
- De novo design of a non-local beta-sheet protein with high stability and accuracy (2018)