An integrative in silico methodology for the identification of modulators of macrophage migration inhibitory factor (MIF) tautomerase activity

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Recent state-to-state experiments of methane scattering from Ni(111) and graphene-covered Ni(111) combined with quantum mechanical simulations suggest an intriguing correlation between the surface-induced vibrational energy redistribution (SIVR) during the ...

Protein-protein interactions (PPIs) are responsible for regulating many biological processes in human bodies. PPIs often have a large binding site and often interact through an alpha helical segment. Therefore, the inhibition of PPIs can be difficult using ...

With the advent of the Square Kilometre Array Observatory (SKAO), scientists will be able to directly observe the Epoch of Reionization by mapping the distribution of neutral hydrogen at different redshifts. While physically motivated results can be simula ...

To build biophysically detailed models of brain cells, circuits, and regions, a data-driven approach is increasingly being adopted. This helps to obtain a simulated activity that reproduces the experimentally recorded neural dynamics as faithfully as possi ...

Machine learning is often cited as a new paradigm in control theory, but is also often viewed as empirical and less intuitive for students than classical model-based methods. This is particularly the case for reinforcement learning, an approach that does n ...

To understand how daylight gives shape and life to architectural spaces, whether existing or imagined, requires quantifying its dynamism and energy. Maintaining these details presents a challenge to simulation and analysis methods that flatten data into di ...

Accurately representing mixed-phase clouds (MPCs) in global climate models (GCMs) is critical for capturing climate sensitivity and Arctic amplification. Secondary ice production (SIP), can significantly increase ice crystal number concentration (ICNC) in ...

S-acylation is one of the most frequent posttranslational modifications that regulates diverse cellular processes. Anwar and van der Goot discuss the complexity and disease implications of this highly regulated reversible lipidation. ...

We generalize the bulk-synchronous parallel (BSP) processing model to make it better support agent-based simulations. Such simulations frequently exhibit hierarchical structure in their communication patterns which can be exploited to improve performance. ...

An integrative in silico methodology for the identification of modulators of macrophage migration inhibitory factor (MIF) tautomerase activity

Chattez avec Graph Search

Surface-induced vibrational energy redistribution in methane/surface scattering depends on catalytic activity

Synthesis and application of bifunctional hypervalent iodine reagents for peptide modification

PINION: physics-informed neural network for accelerating radiative transfer simulations for cosmic reionization

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Traversing Time Dependent Light Fields for Daylight Glare Evaluation

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

Refining S-acylation: Structure, regulation, dynamics, and therapeutic implications

Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations