Results 111 to 120 of about 12,257 (212)
For understanding a chemical compound’s mechanism of action and its side effects, as well as for drug discovery, it is crucial to predict its possible protein targets.
Karina Jimenes-Vargas +4 more
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Cheminformatics has rapidly evolved and garnered widespread attention due to its potential to accelerate the process and reduce the cost of drug design and development.
Rinki Prasad Bhagat +5 more
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Open-source development in cheminformatics [PDF]
Cheminformatics is an emerging discipline of chemistry where software engineering has a central role. The purpose of this research was to produce more insights from the theme by exploring open-source software development carried out in cheminformatics ...
Pernaa, Johannes
core
Molecular representations in bio-cheminformatics
AbstractMolecular representations have essential roles in bio-cheminformatics as they facilitate the growth of machine learning applications in numerous sub-domains of biology and chemistry, especially drug discovery. These representations transform the structural and chemical information of molecules into machine-readable formats that can be ...
Thanh-Hoang Nguyen-Vo +3 more
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CineMol: a programmatically accessible direct-to-SVG 3D small molecule drawer
Effective visualization of small molecules is paramount in conveying concepts and results in cheminformatics. Scalable vector graphics (SVG) are preferred for creating such visualizations, as SVGs can be easily altered in post-production and exported to ...
David Meijer +2 more
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Names are powerful. For example, if you work in a field that has a well-recognized title, it's easy to talk to non-experts about what you do. Doctors, lawyers, NASCAR drivers, actors, and airline pilots all fall into this category. If, on the other hand, you're a medicinal chemist - well, you've got your work cut out for you.
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<strong> Update </strong> : the fourth edition <i> </i> is out. Some project are never finished.
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The q-RASPR approach for predicting the property and fate of persistent organic pollutants
This study presents a quantitative read-across structure-property relationship (q-RASPR) approach that integrates the chemical similarity information used in read-across with traditional quantitative structure-property relationship (QSPR) models.
Chia Ming Chang +4 more
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The increasing prevalence of diabetes and dyslipidemia poses significant health challenges, impacting millions of people globally and leading to high rates of illness and death.
Shaikh Shahinur Rahman +7 more
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JavaScript for Cheminformatics
Regular readers of this blog know that one of its recurring themes is the convergence of Web technologies and chemical information. Although several articles describe how Ruby and Java can be applied to cheminformatics, one language has never been featured: JavaScript. JavaScript is both the default language of the Web client, and a language of growing
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