L. Gong
Molecular Biology · with Bloom · 2010–2013
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 25 citations into it; #4,178 of 17,773 by trust here, #7,496 by citations
- Genetics — 14 citations into it; #2,356 of 6,854 by trust here, #3,531 by citations
- Epidemiology — 10 citations into it; #322 of 2,148 by trust here, #817 by citations
Whom L. Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jesse D. Bloom
- David T. Jones
- Ziheng Yang
- E. Hoffmann
- Daniel M. Weinreich
- William R. Taylor
- Ben Murrell
- Simon Whelan
- Mark A. DePristo
- Janet M. Thornton
Who trusts L. Gong overall
- Tyler N. Starr
- Jesse D. Bloom
- Michael B. Doud
- Orr Ashenberg
- Joseph W. Thornton
- Sergey Kryazhimskiy
- Adrian W. R. Serohijos
- Allison J. Greaney
- B. Thyagarajan
- Nicholas C. Wu
Papers from L. Gong's perspective
Ordered by how strongly the researchers L. Gong trusts endorse each paper. Same corpus, a different order for every researcher.
- Darwinian Evolution Can Follow Only Very Few Mutational Paths to Fitter Proteins
- A DNA transfection system for generation of influenza A virus from eight plasmids. (Proceedings of the National Academy of Sciences of the United States of America)
- Missense meanderings in sequence space: a biophysical view of protein evolution
- A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
- Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.
- The rapid generation of mutation data matrices from protein sequences
- PAML 4: phylogenetic analysis by maximum likelihood. (Molecular biology and evolution)
- Robustness–epistasis link shapes the fitness landscape of a randomly drifting protein
- Protein stability promotes evolvability.
- IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform (PLoS Comput. Biol.)
Their papers
- Permissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistance (2010) — 678 citations
- Mutational effects on stability are largely conserved during protein evolution (2013) — 134 citations
- Stability-mediated epistasis constrains the evolution of an influenza protein (2013) — 336 citations