Peter Koo
Peter Koo
Assistant Professor, Cold Spring Harbor Laboratory
Verified email at - Homepage
Cited by
Cited by
The tethering of chromatin to the nuclear envelope supports nuclear mechanics
SM Schreiner, PK Koo, Y Zhao, SGJ Mochrie, MC King
Nature Communications 6 (1), 1-13, 2015
Single-molecule fluorescence spectroscopy using phospholipid bilayer nanodiscs
A Nath, AJ Trexler, P Koo, AD Miranker, WM Atkins, E Rhoades
Methods in Enzymology 472, 89-117, 2010
Allosteric effects on substrate dissociation from cytochrome P450 3A4 in nanodiscs observed by ensemble and single-molecule fluorescence spectroscopy
A Nath, PK Koo, E Rhoades, WM Atkins
Journal of the American Chemical Society 130 (47), 15746-15747, 2008
A demonstration of unsupervised machine learning in species delimitation
S Derkarabetian, S Castillo, PK Koo, S Ovchinnikov, M Hedin
Molecular Phylogenetics and Evolution 139, 106562, 2019
Representation learning of genomic sequence motifs with convolutional neural networks
PK Koo, SR Eddy
PLoS computational biology 15 (12), e1007560, 2019
Extracting diffusive states of Rho GTPase in live cells: towards in vivo biochemistry
PK Koo, M Weitzman, CR Sabanaygam, KL van Golen, SGJ Mochrie
PLoS Computational Biology 11 (10), e1004297, 2015
Dynamics of cadmium sulfide nanoparticles within polystyrene melts
WS Jang, P Koo, K Bryson, S Narayanan, A Sandy, TP Russell, ...
Macromolecules 47 (18), 6483-6490, 2014
Systems-level approach to uncovering diffusive states and their transitions from single-particle trajectories
PK Koo, SGJ Mochrie
Physical Review E 94 (5), 052412, 2016
WASP family proteins regulate the mobility of the B cell receptor during signaling activation
I Rey-Suarez, BA Wheatley, P Koo, A Bhanja, Z Shu, S Mochrie, W Song, ...
Nature Communications 11, 2020
Improving representations of genomic sequence motifs in convolutional networks with exponential activations
PK Koo, M Ploenzke
Nature Machine Intelligence, 2021
Deep learning for inferring transcription factor binding sites
PK Koo, M Ploenzke
Current Opinion in Systems Biology 19, 16-23, 2020
The static and dynamic structure factor of a Diblock copolymer melt via small-angle x-ray scattering and x-ray photon correlation spectroscopy
WS Jang, P Koo, M Sykorsky, S Narayanan, A Sandy, SGJ Mochrie
Macromolecules 46 (21), 8628-8637, 2013
High magnetic field effect on texture and grain growth of GNO silicon steel
CMB Bacaltchuk, GA Castello Branco, H Garmestani, C Iskandar, P Koo, ...
Materialwissenschaft und Werkstofftechnik: Entwicklung, Fertigung, Prüfung …, 2005
ZBED2 is an antagonist of interferon regulatory factor 1 and modifies cell identity in pancreatic cancer
TDD Somerville, Y Xu, XS Wu, D Maia-Silva, SK Hur, LMN de Almeida, ...
Proceedings of the National Academy of Sciences 117 (21), 11471-11482, 2020
Inferring sequence-structure preferences of rna-binding proteins with convolutional residual networks
PK Koo, P Anand, SB Paul, SR Eddy
bioRxiv, 418459, 2018
Improved Determination of Subnuclear Position Enabled by Three-Dimensional Membrane Reconstruction
Y Zhao, SM Schreiner, PK Koo, P Colombi, MC King, SGJ Mochrie
Biophysical Journal 111 (1), 19-24, 2016
The architecture of the 12RSS in V (D) J recombination signal and synaptic complexes
M Ciubotaru, MD Surleac, LA Metskas, P Koo, E Rhoades, AJ Petrescu, ...
Nucleic Acids Research 43 (2), 917-931, 2015
Unified framework for modeling multivariate distributions in biological sequences
J Dauparas, H Wang, A Swartz, P Koo, M Nitzan, S Ovchinnikov
arXiv preprint arXiv:1810.04805, 2019
Improving Convolutional Network Interpretability with Exponential Activations
PK Koo, M Ploenzke
bioRxiv, 650804, 2019
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks
PK Koo, A Majdandzic, M Ploenzke, P Anand, S Paul
PLoS Computational Biology 17 (5), e1008925, 2021
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