Force field parametrization involves a complex set of linked optimization problems, with the goal of describing complex molecular interactions by using simple classical potential-energy functions that model Coulomb interactions, dispersion, and exchange repulsion. These functions comprise a set of atomic (and molecular) parameters and together with the bonded terms they constitute the molecular mechanics force field. Traditionally, many of these parameters have been fitted in a calibration approach in which experimental measures for thermodynamic and other relevant properties of small-molecule compounds are used for fitting and validation. As these approaches are laborious and time-consuming and represent an underdetermined optimization problem, we study methods to fit and derive an increasing number of parameters directly from electronic structure calculations, in order to greatly reduce possible parameter space for the remaining free parameters. In the current work we investigate a polarizable model with a higher order dispersion term for use in biomolecular simulation. Results for 49 biochemically relevant molecules are presented including updated parameters for hydrocarbon side chains. We show that our recently presented set of QM/MM derived atomic polarizabilities can be used in direct conjunction with partial charges and a higher order dispersion model that are quantum-mechanically determined, to freeze nearly all (i.e., 132 out of 138) nonbonded parameters to their quantum determined values.
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http://dx.doi.org/10.1021/acs.jpcb.9b10903 | DOI Listing |
Sci Rep
January 2025
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China.
As a multivariate time series, the prediction of curling trajectories is crucial for athletes to devise game strategies. However, the wide prediction range and complex data correlations present significant challenges to this task. This paper puts forward an innovative deep learning approach, CasLSTM, by introducing integrated inter-layer memory, and establishes an encoder-predictor curling trajectory forecasting model accordingly.
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January 2025
Military Institute of Engineering, Praça General Tibúrcio 80, Urca, Rio de Janeiro, RJ, 22290-270, Brazil.
The antiscale magnetic treatment (ASMT) claims to utilize magnetic field to combat scaling. However, its underlying mechanism, effectiveness, and reliability remain controversial. To address these contentious aspects, we analyze the influence of a magnetic field on the different stages of typical scale formation, using [Formula: see text] as a model scale.
View Article and Find Full Text PDFNPJ Aging
January 2025
Department of Developmental Biology, Department of Medicine (Joint), Washington University School of Medicine, St. Louis, Missouri, USA.
Over the past five years, systemic NAD (nicotinamide adenine dinucleotide) decline has been accepted to be a key driving force of aging in the field of aging research. The original version of the NAD World concept was proposed in 2009, providing an integrated view of the NAD-centric, systemic regulatory network for mammalian aging and longevity control. The reformulated version of the concept, the NAD World 2.
View Article and Find Full Text PDFActa Bioeng Biomech
September 2024
Department of Biomedical Basis of Physical Culture, Faculty of Health Science and Physical Culture, Kazimierz Wielki University in Bydgoszcz, Poland.
Soccer is a sport being performed in a very dynamic manner. It requires soccer players to be able to develop high muscle force in a very short period of time. The aim of the study was to evaluate the strength and jumping abilities of young soccer players playing in different positions on the field.
View Article and Find Full Text PDFACS Sens
January 2025
CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, P. R. China.
Flexible pressure sensors are pivotal in advancing artificial intelligence, the Internet of Things (IoT), and wearable technologies. While microstructuring the functional layer of these sensors effectively enhances their performance, current fabrication methods often require complex equipment and time-consuming processes. Herein, we present a novel magnetization-induced self-assembly method to develop a magnetically grown microneedle array as a dielectric layer for flexible capacitive pressure sensors.
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