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Due to the existence of many additive properties in chemistry and physics (the energy is the most prominent one), AIL is especially well suited for solving numerous problems in chemo- and bioinformatics, ranging from QSAR/QSPR studies up to molecular modeling, computing binding energies, etc.
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Using molecular modeling, we computed and ranked energy balances for the binding of these inhibitors to GIIAPLA2.
The rapid rise in desktop computing power has enabled relatively easy access to sophisticated applications in molecular modelling, computational chemistry, and machine learning, which have led to a burgeoning of the capability to produce QSARs for large and complex datasets.
Since δ of the high molecular weight models computed from (Eiu−El) agree with experiment better than those from (Eip−El), it implies that δ obtained from indirect measurements correspond to a hypothetical vaporization process where the conformations of polymer coils do not undergo significant changes.
The molecular models were computed using the Geno3D tools (Combet et al. 2002), following a modeling process under restraints similar to the process used for experimental solving of protein structure by NMR.
With advance of computer technologies, the prediction method based on theoretical computing method and molecular modeling to establish the three-dimensional structure for designing a new drug molecule can be used to speed up finding the good possible candidate solutions.
The processes of protein folding and binding can be simulated using such technique as molecular mechanics, in particular, molecular dynamics and Monte Carlo, which increasingly take advantage of parallel and distributed computing (Folding@home project; molecular modeling on GPU).
Computational chemistry and molecular modeling studies.
Examples will be given how scientific computing methods contribute to innovative products with state-of-the-art molecular modeling and mathematical methods - both, for consumer goods and industrial applications.
They also seem to herald the future as yet unexplored and undiscovered as Glahn notes, "most scientific discoveries of recent times would not have been possible without the computing power of supercomputers, for example in quantum physics, weather forecasting, climate research, molecular modeling, physical simulations, and so on".
Molecular modelling was carried out by computing selected descriptors related to drug absorption, distribution, metabolism, excretion and toxicity (ADMET).
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