Results 1 to 10 of about 813,118 (174)

Stochastic machine learning via sigma profiles to build a digital chemical space. [PDF]

open access: yesProc Natl Acad Sci U S A
This work establishes a different paradigm on digital molecular spaces and their efficient navigation by exploiting sigma profiles. To do so, the remarkable capability of Gaussian processes (GPs), a type of stochastic machine learning model, to correlate and predict physicochemical properties from sigma profiles is demonstrated, outperforming state-of ...
Abranches DO, Maginn EJ, Colón YJ.
europepmc   +3 more sources

Cytotoxicity Profiles and Neuroprotective Properties of the Novel Ifenprodil Analogues as Sigma Ligands

open access: yesMolecules, 2023
Neurodegeneration is a slow and progressive loss of neuronal cells or their function in specific regions of the brain or in the peripheral system.
Daniele Zampieri   +8 more
doaj   +6 more sources

Definition of the σ(W) regulon of Bacillus subtilis in the absence of stress. [PDF]

open access: yesPLoS ONE, 2012
Bacteria employ extracytoplasmic function (ECF) sigma factors for their responses to environmental stresses. Despite intensive research, the molecular dissection of ECF sigma factor regulons has remained a major challenge due to overlaps in the ECF sigma
Jessica C Zweers   +4 more
doaj   +8 more sources

Developing deep learning-based large-scale organic reaction classification model via sigma-profiles

open access: yesGreen Chemical Engineering
Advanced technologies like deep learning have accelerated the discovery of novel chemical reactions, especially in the field of organic synthesis. With hundreds of thousands of reactions available for reference, one way to effectively leverage them is by
Wenlong Wang   +3 more
doaj   +2 more sources

Sigma profiles in deep learning: towards a universal molecular descriptor

open access: yesChemical Communications, 2022
Sigma profiles are shown to be universal molecular descriptors in the prediction of material properties using powerful deep learning methodologies.
Dinis O. Abranches   +3 more
openaire   +2 more sources

A surrogate model of sigma profile and COSMOSAC activity coefficient predictions of using transformer with SMILES input

open access: yesDigital Chemical Engineering, 2022
COSMOSAC is a model that allows apriori predictions of activity coefficients for characterizing solute-solvent interactions. The method requires the input of sigma profile, the charge distribution on the surface of the molecules, which can be obtained ...
Jia-Lin Kang   +3 more
doaj   +1 more source

Model of daytime emissions of electronically-vibrationally excited products of O3 and O2 photolysis: application to ozone retrieval [PDF]

open access: yesAnnales Geophysicae, 2006
The traditional kinetics of electronically excited products of O3 and O2 photolysis is supplemented with the processes of the energy transfer between electronically-vibrationally excited levels O2(a1Δg, v) and O2(b1Σ+g, v), excited atomic
V. A. Yankovsky, R. O. Manuilova
doaj   +1 more source

A Mycobacterium tuberculosis sigma factor network responds to cell-envelope damage by the promising anti-mycobacterial thioridazine. [PDF]

open access: yesPLoS ONE, 2010
Novel therapeutics are urgently needed to control tuberculosis (TB). Thioridazine (THZ) is a candidate for the therapy of multidrug and extensively drug-resistant TB.We studied the impact of THZ on Mycobacterium tuberculosis (Mtb) by analyzing gene ...
Noton K Dutta   +2 more
doaj   +1 more source

Sigma-1 Receptors in Depression: Mechanism and Therapeutic Development

open access: yesFrontiers in Pharmacology, 2022
Depression is the most common type of neuropsychiatric illness and has increasingly become a major cause of disability. Unfortunately, the recent global pandemic of COVID-19 has dramatically increased the incidence of depression and has significantly ...
Peng Ren   +7 more
doaj   +1 more source

Sigma-2 Receptor—A Potential Target for Cancer/Alzheimer’s Disease Treatment via Its Regulation of Cholesterol Homeostasis

open access: yesMolecules, 2020
The sigma receptors were classified into sigma-1 and sigma-2 receptor based on their different pharmacological profiles. In the past two decades, our understanding of the biological and pharmacological properties of the sigma-1 receptor is increasing ...
Kai Yang   +5 more
doaj   +1 more source

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