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Natalie Ng

dblp:258/2538 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › variant effect prediction
non-coding variant prioritization
0.412020
Predicting the effects of SNPs on transcription factor binding affinity · Bioinform. 2020
Bioinformatics and computational biology › gene regulation
regulatory genomics
0.412020
Predicting the effects of SNPs on transcription factor binding affinity · Bioinform. 2020
Bioinformatics and computational biology › statistical genetics › variant effect prediction
SNP effect prediction
0.412020
Predicting the effects of SNPs on transcription factor binding affinity · Bioinform. 2020
Bioinformatics and computational biology › gene regulation › protein-DNA interaction modeling
transcription factor binding affinity prediction
0.412020
Predicting the effects of SNPs on transcription factor binding affinity · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

position weight matrix · 0.4ChIP-seq signal analysis · 0.4
YearPublicationVenuePosition
2020 Predicting the effects of SNPs on transcription factor binding affinity
abstract
MOTIVATION: Genome-wide association studies have revealed that 88% of disease-associated single-nucleotide polymorphisms (SNPs) reside in noncoding regions. However, noncoding SNPs remain understudied, partly because they are challenging to prioritize for experimental validation. To address this deficiency, we developed the SNP effect matrix pipeline (SEMpl). RESULTS: SEMpl estimates transcription factor-binding affinity by observing differences in chromatin immunoprecipitation followed by deep sequencing signal intensity for SNPs within functional transcription factor-binding sites (TFBSs) genome-wide. By cataloging the effects of every possible mutation within the TFBS motif, SEMpl can predict the consequences of SNPs to transcription factor binding. This knowledge can be used to identify potential disease-causing regulatory loci. AVAILABILITY AND IMPLEMENTATION: SEMpl is available from https://github.com/Boyle-Lab/SEM_CPP. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sierra S. Nishizaki, Natalie Ng, Shengcheng Dong, Robert S. Porter, Cody Morterud, Colten Williams, Courtney Asman, Jessica A. Switzenberg, Alan P. Boyle
Bioinform.2
2019 Conservation of conformational dynamics across prokaryotic actins
abstract
The actin family of cytoskeletal proteins is essential to the physiology of virtually all archaea, bacteria, and eukaryotes. While X-ray crystallography and electron microscopy have revealed structural homologies among actin-family proteins, these techniques cannot probe molecular-scale conformational dynamics. Here, we use all-atom molecular dynamic simulations to reveal conserved dynamical behaviors in four prokaryotic actin homologs: MreB, FtsA, ParM, and crenactin. We demonstrate that the majority of the conformational dynamics of prokaryotic actins can be explained by treating the four subdomains as rigid bodies. MreB, ParM, and FtsA monomers exhibited nucleotide-dependent dihedral and opening angles, while crenactin monomer dynamics were nucleotide-independent. We further show that the opening angle of ParM is sensitive to a specific interaction between subdomains. Steered molecular dynamics simulations of MreB, FtsA, and crenactin dimers revealed that changes in subunit dihedral angle lead to intersubunit bending or twist, suggesting a conserved mechanism for regulating filament structure. Taken together, our results provide molecular-scale insights into the nucleotide and polymerization dependencies of the structure of prokaryotic actins, suggesting mechanisms for how these structural features are linked to their diverse functions.
Natalie Ng, Handuo Shi, Alexandre Colavin, Kerwyn Casey Huang
PLoS Comput. Biol.1