scholarly journals High-Throughput Simulations of Protein Dynamics in Molecular Machines: The ‘Link’ Domain of RNA Polymerase

Author(s):  
Robert O. J. Weinzierl
2016 ◽  
pp. 108705711667999
Author(s):  
Nathan T. Scharf ◽  
Vadim Molodtsov ◽  
Arrin Kontos ◽  
Katsuhiko S. Murakami ◽  
George A. Garcia

2010 ◽  
Vol 107 (45) ◽  
pp. 19151-19156 ◽  
Author(s):  
C.-Y. Su ◽  
T.-J. R. Cheng ◽  
M.-I. Lin ◽  
S.-Y. Wang ◽  
W.-I. Huang ◽  
...  

Cell Reports ◽  
2017 ◽  
Vol 21 (4) ◽  
pp. 1063-1076 ◽  
Author(s):  
David Dulin ◽  
Jamie J. Arnold ◽  
Theo van Laar ◽  
Hyung-Suk Oh ◽  
Cheri Lee ◽  
...  

2013 ◽  
Vol 18 (9) ◽  
pp. 1027-1034 ◽  
Author(s):  
Auda A. Eltahla ◽  
Kurt Lackovic ◽  
Christopher Marquis ◽  
John-Sebastian Eden ◽  
Peter A. White

The hepatitis C virus (HCV) RNA-dependent RNA polymerase (RdRp) plays an essential role in the replication of HCV and is a key target for novel antiviral therapies. Several RdRp inhibitors are in clinical trials and have increased response rates when combined with current interferon-based therapies for genotype 1 (G1) HCV patients. These inhibitors, however, show poor efficacy against non-G1 genotypes, including G3a, which represents ~20% of HCV cases globally. Here, we used a commercially available fluorescent dye to characterize G3a HCV RdRp in vitro. RdRp activity was assessed via synthesis of double-stranded RNA from the single-stranded RNA poly(C) template. The assay was miniaturized to a 384-well microplate format and a pilot high-throughput screen was conducted using 10,208 “lead-like” compounds, randomly selected to identify inhibitors of HCV G3a RdRp. Of 150 compounds demonstrating greatest inhibition, 10 were confirmed using both fluorescent and radioactive assays. The top two inhibitors (HAC001 and HAC002) demonstrated specific activity, with an IC50 of 12.7 µM and 1.0 µM, respectively. In conclusion, we describe simple, fluorescent-based high-throughput screening (HTS) for the identification of inhibitors of de novo RdRp activity, using HCV G3a RdRp as the target. The HTS system could be used against any positive-sense RNA virus that cannot be cultured.


2021 ◽  
Author(s):  
Derek H Janssens ◽  
Dominik J. Otto ◽  
Manu Setty ◽  
Kami Ahmad ◽  
Steven Henikoff

Cleavage Under Targets & Tagmentation (CUT&Tag) is an antibody-directed transposase tethering strategy for in situ chromatin profiling in small samples and single cells. We describe a modified CUT&Tag protocol using a mixture of an antibody to the initiation form of RNA Polymerase II (Pol2 Serine-5 phosphate) and an antibody to repressive Polycomb domains (H3K27me3) followed by computational signal deconvolution to produce high-resolution maps of both the active and repressive regulomes in single cells. The ability to seamlessly map active promoters, enhancers and repressive regulatory elements using a single workflow provides a complete regulome profiling strategy suitable for high-throughput single-cell platforms.


2019 ◽  
Vol 21 (3) ◽  
pp. 815-835 ◽  
Author(s):  
Zhongjie Liang ◽  
Gennady M Verkhivker ◽  
Guang Hu

Abstract Proteins are dynamical entities that undergo a plethora of conformational changes, accomplishing their biological functions. Molecular dynamics simulation and normal mode analysis methods have become the gold standard for studying protein dynamics, analyzing molecular mechanism and allosteric regulation of biological systems. The enormous amount of the ensemble-based experimental and computational data on protein structure and dynamics has presented a major challenge for the high-throughput modeling of protein regulation and molecular mechanisms. In parallel, bioinformatics and systems biology approaches including genomic analysis, coevolution and network-based modeling have provided an array of powerful tools that complemented and enriched biophysical insights by enabling high-throughput analysis of biological data and dissection of global molecular signatures underlying mechanisms of protein function and interactions in the cellular environment. These developments have provided a powerful interdisciplinary framework for quantifying the relationships between protein dynamics and allosteric regulation, allowing for high-throughput modeling and engineering of molecular mechanisms. Here, we review fundamental advances in protein dynamics, network theory and coevolutionary analysis that have provided foundation for rapidly growing computational tools for modeling of allosteric regulation. We discuss recent developments in these interdisciplinary areas bridging computational biophysics and network biology, focusing on promising applications in allosteric regulations, including the investigation of allosteric communication pathways, protein–DNA/RNA interactions and disease mutations in genomic medicine. We conclude by formulating and discussing future directions and potential challenges facing quantitative computational investigations of allosteric regulatory mechanisms in protein systems.


2007 ◽  
Vol 36 (1) ◽  
pp. 245-252 ◽  
Author(s):  
Sven Nottebaum ◽  
Lin Tan ◽  
Dominika Trzaska ◽  
Hannah C. Carney ◽  
Robert O. J. Weinzierl

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