Sang Yup Lee
Molecular Biology · Nucleic Acids Res. · 2005–2020
A researcher in the Science corpus: 16 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 192 citations into it
- Pharmacology — 49 citations into it
- Biomedical Engineering — 41 citations into it
- Computational Theory and Mathematics — 20 citations into it
- Biotechnology — 16 citations into it
- Genetics — 14 citations into it
- Materials Chemistry — 8 citations into it
- Computational Chemistry & Drug Discovery — 5 citations into it
Whom Sang Yup Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sang Yup Lee overall
Papers from Sang Yup Lee's perspective
Ordered by how strongly the researchers Sang Yup Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
- Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods (Nature Reviews Microbiology)
- Understanding variable importances in forests of randomized trees
- Genome Sequence and Comparative Analysis of the Solvent-Producing Bacterium Clostridium acetobutylicum (Journal of Bacteriology)
- Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology (Briefings Bioinform.)
- Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
- The ClosTron: a universal gene knock-out system for the genus Clostridium. (Journal of Microbiological Methods)
- Molecular Systems Biology Peer Review Process File Indi: a Computational Framework for Inferring Drug Interactions and Their Associated Recommendations Transaction Report
- The Pfam protein families database: towards a more sustainable future
- Deep learning for computational biology
Their papers
- Deep learning improves prediction of drug–drug and drug–food interactions (2018) — 592 citations
- antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification (2017) — 1,092 citations
- Systems metabolic engineering of microorganisms for natural and non-natural chemicals. (2012) — 703 citations
- Systems biotechnology for strain improvement. (2005) — 308 citations
- antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline (2019) — 2,482 citations
- Fermentative butanol production by clostridia (2008) — 1,035 citations
- antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters (2015) — 1,741 citations
- Production of recombinant proteins by high cell density culture of Escherichia coli (2006) — 360 citations
- MEMOTE for standardized genome-scale metabolic model testing (2020) — 443 citations
- Current status and applications of genome-scale metabolic models (2019) — 642 citations
- Rational Protein Engineering of Thermo-Stable PETase from Ideonella sakaiensis for Highly Efficient PET Degradation (2019) — 438 citations
- Metabolic engineering of Escherichia coli for secretory production of free haem (2018) — 110 citations
- Structural insight into molecular mechanism of poly(ethylene terephthalate) degradation (2018) — 622 citations
- Metabolic Engineering of Microorganisms for the Production of Natural Compounds (2018) — 105 citations
- Genome-scale Reconstruction of the metabolic network (2013) — 105 citations
- Systems Metabolic Engineering for Chemicals and Materials (2010) — 165 citations