Results 71 to 80 of about 34,525 (341)

Quantification of the Properties of Organic Molecules Using Core‐Loss Spectra as Neural Network Descriptors

open access: yesAdvanced Intelligent Systems, 2022
Artificial neural networks are applied to quantify the properties of organic molecules by introducing a new descriptor, a core‐loss spectrum, which is typically observed experimentally using electron or X‐ray spectroscopy.
Kakeru Kikumasa   +3 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

Supervised Machine Learning-Graph Theory Approach For Analyzing the Electronic Properties of Alkanes

open access: yesJournal of the Turkish Chemical Society, Section A: Chemistry
The combination of advanced scientific computing and quantum chemistry improves the existing approach in all chemistry and material science fields. Machine learning has revolutionized numerous disciplines within chemistry and material science.
Nurul Aimi Zakaria   +2 more
doaj   +1 more source

Relating the ABC and harmonic indices [PDF]

open access: yesJournal of the Serbian Chemical Society, 2014
The atom-bond connectivity (ABC) index is a much-studied molecular structure descriptor, based on the degrees of the vertices of the molecular graph.
Gutman Ivan, Zhong Lingping, Xu Kexiang
doaj   +1 more source

E_min: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability

open access: yes
Predicting the synthesizability of a new molecule remains an unsolved challenge that chemists have long tackled with heuristic approaches. Here, we report a new method for predicting synthesizability using a simple, yet accurate thermochemical descriptor.
Hassan, Harb   +6 more
core   +1 more source

A novel hybrid ultrafast shape descriptor method for use in virtual screening

open access: yes, 2008
The authors thank the EPSRC and Unilever plc for funding.Background We have introduced a new Hybrid descriptor composed of the MACCS key descriptor encoding topological information and Ballester and Richards' Ultrafast Shape Recognition (USR) descriptor.
Nigsch, F   +9 more
core   +1 more source

LEL-a Newly Designed Molecular Descriptor

open access: green, 2009
Diudea, Mircea V.   +3 more
openaire   +4 more sources

Automatic identification of NBOMe illicit psychoactive substances based on combined molecular descriptors [PDF]

open access: diamond, 2021
Adelina Ion   +3 more
openalex   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

Electric Dipole Descriptor for Machine Learning Prediction of Catalyst Surface–Molecular Adsorbate Interactions

open access: yes, 2020
The challenge of evaluating catalyst surface–molecular adsorbate interactions holds the key for rational design of catalysts. Finding an experimentally measurable and theoretically computable descriptor for evaluating surface–adsorbate interactions is a ...
Yi Luo   +15 more
core   +1 more source

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