Crossing the ring: New method enables C-H activation across saturated carbocycles
A new "molecular editing" technique from Scripps Research enables chemists to add new elements to organic molecules at locations that were previously out of reach.
A new "molecular editing" technique from Scripps Research enables chemists to add new elements to organic molecules at locations that were previously out of reach.
Analytical Chemistry
May 31, 2023
0
14
While it can take years for the pharmaceutical industry to create medicines capable of treating or curing human disease, a new study suggests that using generative artificial intelligence could vastly accelerate the drug-development ...
Analytical Chemistry
May 30, 2023
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134
A study by Loughborough University and the University of Oxford has led to the development of a small molecule probe that could deepen our understanding of a crucial cellular messenger and lead to the development of new therapeutic ...
Biochemistry
May 30, 2023
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49
Scientists at McMaster University and the Massachusetts Institute of Technology have used artificial intelligence to discover a new antibiotic that could be used to fight a deadly, drug-resistant pathogen that strikes vulnerable ...
Biochemistry
May 25, 2023
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105
Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore ...
Analytical Chemistry
May 19, 2023
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52
Resistance to antibiotics is a problem that alarms the medical and scientific community. Bacteria resistant to three different classes of antibiotics, known as multi-drug resistant (MDR) bacteria, are far from rare. Some ...
Cell & Microbiology
May 15, 2023
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29
A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial ...
Biotechnology
May 8, 2023
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6799
A method to store advanced cell models has been developed by researchers at the University of Warwick.
Biochemistry
May 2, 2023
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154
Studies show that some species may require breeding in captivity within the next 200 years to avoid extinction. This reality places heavy importance on the reintroduction practices used to successfully transfer species from ...
Plants & Animals
Apr 27, 2023
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6
Artificial intelligence can generate poems and essays, create responsive game characters, analyze vast amounts of data and detect patterns that the human eye might miss. Imagine what AI could do for drug discovery, traditionally ...
Analytical Chemistry
Apr 27, 2023
0
41
In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which drugs are discovered and/or designed.
In the past most drugs have been discovered either by identifying the active ingredient from traditional remedies or by serendipitous discovery. A new approach has been to understand how disease and infection are controlled at the molecular and physiological level and to target specific entities based on this knowledge.
The process of drug discovery involves the identification of candidates, synthesis, characterization, screening, and assays for therapeutic efficacy. Once a compound has shown its value in these tests, it will begin the process of drug development prior to clinical trials.
Despite advances in technology and understanding of biological systems, drug discovery is still a lengthy, "expensive, difficult, and inefficient process" with low rate of new therapeutic discovery. Information on the human genome, its sequence and what it encodes has been hailed as a potential windfall for drug discovery, promising to virtually eliminate the bottleneck in therapeutic targets that has been one limiting factor on the rate of therapeutic discovery.[citation needed] However, data indicates that "new targets" as opposed to "established targets" are more prone to drug discovery project failure in general[citation needed] This data corroborates some thinking underlying a pharmaceutical industry trend beginning at the turn of the twenty-first century and continuing today which finds more risk aversion in target selection among multi-national pharmaceutical companies.[citation needed]
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