Using AlphaFold to predict the impact of single mutations on protein stability and function
MA Pak, KA Markhieva, MS Novikova, DS Petrov… - Plos one, 2023 - journals.plos.org
AlphaFold changed the field of structural biology by achieving three-dimensional (3D)
structure prediction from protein sequence at experimental quality. The astounding success …
structure prediction from protein sequence at experimental quality. The astounding success …
Stable low-rank tensor decomposition for compression of convolutional neural network
Most state-of-the-art deep neural networks are overparameterized and exhibit a high
computational cost. A straightforward approach to this problem is to replace convolutional …
computational cost. A straightforward approach to this problem is to replace convolutional …
Npbg++: Accelerating neural point-based graphics
We present a new system (NPBG++) for the novel view synthesis (NVS) task that achieves
high rendering realism with low scene fitting time. Our method efficiently leverages the …
high rendering realism with low scene fitting time. Our method efficiently leverages the …
Parameter concentrations in quantum approximate optimization
The quantum approximate optimization algorithm (QAOA) has become a cornerstone of
contemporary quantum applications development. In QAOA, a quantum circuit is trained—by …
contemporary quantum applications development. In QAOA, a quantum circuit is trained—by …
[HTML][HTML] CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification
The current COVID-19 pandemic overloads healthcare systems, including radiology
departments. Though several deep learning approaches were developed to assist in CT …
departments. Though several deep learning approaches were developed to assist in CT …
Pseudo-labeling approach for land cover classification through remote sensing observations with noisy labels
Satellite data allows us to solve a wide range of challenging tasks remotely, including
monitoring changing environmental conditions, assessing resources, and evaluating …
monitoring changing environmental conditions, assessing resources, and evaluating …
Hole-matrixed carbonylated graphene: Synthesis, properties, and highly-selective ammonia gas sensing
Here, the synthesis of holey carbonylated (C-ny) graphene derivative and its application for
gas sensing is demonstrated. The carbonylation of graphene oxide leads to the 3-fold …
gas sensing is demonstrated. The carbonylation of graphene oxide leads to the 3-fold …
Probing the solar coronal magnetic field with physics-informed neural networks
While the photospheric magnetic field of our Sun is routinely measured, its extent into the
upper atmosphere is typically not accessible by direct observations. Here we present an …
upper atmosphere is typically not accessible by direct observations. Here we present an …
Training saturation in layerwise quantum approximate optimization
The quantum approximate optimization algorithm (QAOA) is the most studied gate-based
variational quantum algorithm today. We train QAOA one layer at a time to maximize overlap …
variational quantum algorithm today. We train QAOA one layer at a time to maximize overlap …
Protein–peptide binding site detection using 3D convolutional neural networks
Peptides and peptide-based molecules represent a promising therapeutic modality targeting
intracellular protein–protein interactions, potentially combining the beneficial properties of …
intracellular protein–protein interactions, potentially combining the beneficial properties of …