Lauren P. Carter
Molecular Biology · 2016–2023
A researcher in the Science corpus: 16 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 365 citations into it; #10,995 of 17,773 by trust here, #3,473 by citations
- Materials Chemistry — 168 citations into it
- Computational Biology & Bioinformatics — 110 citations into it; #642 of 660 by trust here, #244 by citations
Whom Lauren P. Carter trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- David Baker (in Molecular Biology)
Who trusts Lauren P. Carter
- Tanja Kortemme (in Molecular Biology)
- Xingjie Pan (in Molecular Biology)
- Enrique Marcos (in Molecular Biology)
Papers from Lauren P. Carter's perspective
Ordered by how strongly the researchers Lauren P. Carter trusts endorse each paper. Same corpus, a different order for every researcher.
- Highly accurate protein structure prediction with AlphaFold
- Accurate design of coassembling multi-component protein nanomaterials
- Accurate design of megadalton-scale two-component icosahedral protein complexes
- Overview of the CCP4 suite and current developments
- De novo protein design by deep network hallucination
- High-resolution protein design with backbone freedom.
- Computational design of self-assembling protein nanomaterials with atomic level accuracy
- Improved protein structure prediction using predicted interresidue orientations
- RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite
- Design of protein-binding proteins from the target structure alone
Their papers
- De novo design of a non-local β-sheet protein with high stability and accuracy (2018) — 107 citations
- Global analysis of protein folding using massively parallel design, synthesis, and testing (2017) — 497 citations
- Accurate de novo design of hyperstable constrained peptides (2016) — 389 citations
- De novo design of a fluorescence-activating β-barrel (2018) — 312 citations
- Programmable design of orthogonal protein heterodimers (2018) — 167 citations
- Hallucinating symmetric protein assemblies (2022) — 221 citations
- Hallucinating protein assemblies (2022) — 3 citations
- De novo design of luciferases using deep learning (2023) — 377 citations
- Quadrivalent influenza nanoparticle vaccines induce broad protection (2021) — 258 citations
- Sampling of structure and sequence space of small protein folds (2021) — 21 citations
- Elicitation of Potent Neutralizing Antibody Responses by Designed Protein Nanoparticle Vaccines for SARS-CoV-2 (2020) — 428 citations
- Elicitation of broadly protective immunity to influenza by multivalent hemagglutinin nanoparticle vaccines (2020) — 30 citations
- De novo design of potent and selective mimics of IL-2 and IL-15 (2019) — 474 citations
- Induction of Potent Neutralizing Antibody Responses by a Designed Protein Nanoparticle Vaccine for Respiratory Syncytial Virus (2019) — 417 citations
- De novo design of a non-local beta-sheet protein with high stability and accuracy (2018)
- Massively parallel de novo protein design for targeted therapeutics (2017) — 438 citations