Hyun Uk Kim
Molecular Biology · 2015–2020
A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 105 citations into it
- Pharmacology — 27 citations into it
- Computational Theory and Mathematics — 15 citations into it
Whom Hyun Uk Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hyun Uk Kim's perspective
Ordered by how strongly the researchers Hyun Uk Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
- Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods (Nature Reviews Microbiology)
- 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
- BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
- Understanding variable importances in forests of randomized trees
- Deep learning for computational biology
- SMURF: genomic mapping of fungal secondary metabolite clusters (Fungal Genetics and Biology)
- Insights into secondary metabolism from a global analysis of prokaryotic biosynthetic gene clusters. (Cell)
- Fast and sensitive protein alignment using DIAMOND
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
- Minimum Information about a Biosynthetic Gene cluster (2015) — 802 citations
- antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters (2015) — 1,741 citations
- MEMOTE for standardized genome-scale metabolic model testing (2020) — 443 citations
- Current status and applications of genome-scale metabolic models (2019) — 642 citations