Results 41 to 50 of about 24,906 (269)

Graph Neural Networks and Structural Information on Ionic Liquids: A Cheminformatics Study on Molecular Physicochemical Property Prediction

open access: yesJournal of Physical Chemistry B, 2023
Ionic liquids (ILs) provide a promising solution in many industrial applications, such as solvents, absorbents, electrolytes, catalysts, lubricants, and many others.
Karol Baran, A. Kloskowski
semanticscholar   +1 more source

Nitroaromatics as hypoxic cell radiosensitizers: A 2D-QSAR approach to explore structural features contributing to radiosensitization effectiveness

open access: yesEuropean Journal of Medicinal Chemistry Reports, 2022
Hypoxia is the prime component of tumor microenvironment that plays a pivotal role in cancer progression. Nitroaromatic compounds are known to enhance the sensitivity of hypoxic cells to ionizing radiation.
Priyanka De, Kunal Roy
doaj   +1 more source

Uncovering novel liquid organic hydrogen carriers: a systematic exploration of chemical compound space using cheminformatics and quantum chemical methods

open access: yesDigital Discovery, 2023
We present a comprehensive, in silico-based discovery approach to identifying novel liquid organic hydrogen carrier (LOHC) candidates using cheminformatics methods and quantum chemical calculations.
Hassan Harb   +6 more
semanticscholar   +1 more source

Exploring the Substrate Specificity of a Sugar Transporter with Biosensors and Cheminformatics

open access: yesACS Synthetic Biology, 2023
Sugars will eventually be exported transporters (SWEETs) are conserved sugar transporters that play crucial roles in plant physiology and biotechnology. The genomes of flowering plants typically encode about 20 SWEET paralogs that can be classified into ...
Jihyun Park   +3 more
semanticscholar   +1 more source

PocketGraph : graph representation of binding site volumes [PDF]

open access: yes, 2009
The representation of small molecules as molecular graphs is a common technique in various fields of cheminformatics. This approach employs abstract descriptions of topology and properties for rapid analyses and comparison.
Kriegl, Jan M.   +2 more
core   +1 more source

5-Hydroxy-3-(4-hydroxyphenyl)-8,8-dimethyl-6- (3-methylbut-2-enyl)pyrano[2,3-h]chromen-4-one [PDF]

open access: yes, 2018
Natural and semi-synthetic compounds are being studied as novel phosphodiesterase 5 (PDE5) inhibitors for the treatment of erectile dysfunction, pulmonary hypertension, and lower urinary symptoms.
Ongaro, Alberto   +2 more
core   +1 more source

The VEGA suite of programs: an versatile platform for cheminformatics and drug design projects

open access: yesBioinform., 2020
The purpose of the article is to offer an overview of the latest release of the VEGA suite of programs. This software has been constantly developed and freely released during the last 20 years and has now reached a significant diffusion and technology ...
A. Pedretti   +4 more
semanticscholar   +1 more source

Exploring the Chemical Space of CYP17A1 Inhibitors Using Cheminformatics and Machine Learning

open access: yesMolecules, 2023
Cytochrome P450 17A1 (CYP17A1) is one of the key enzymes in steroidogenesis that produces dehydroepiandrosterone (DHEA) from cholesterol. Abnormal DHEA production may lead to the progression of severe diseases, such as prostatic and breast cancers. Thus,
Tianshi Yu   +7 more
semanticscholar   +1 more source

Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows [PDF]

open access: yes, 2017
We describe a computational protocol to aid the design of small molecule and peptide drugs that target protein-protein interactions, particularly for anti-cancer therapy. To achieve this goal, we explore multiple strategies, including finding binding hot
A Goncearenco   +44 more
core   +1 more source

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