Research team uncovers universal code driving the formation of all cell membranes
Researchers at the University of Alberta have uncovered what they say has been the missing puzzle piece ever since the genetic code was first cracked.
Researchers at the University of Alberta have uncovered what they say has been the missing puzzle piece ever since the genetic code was first cracked.
Cell & Microbiology
Feb 28, 2024
0
224
Coherence stands as a pillar of effective communication, whether it is in writing, speaking or information processing. This principle extends to quantum bits, or qubits, the building blocks of quantum computing. A quantum ...
Quantum Physics
Oct 26, 2023
0
254
Think about how frustrating it is to try to fit a gift into a box that is too small. Sometimes you just need a bigger box.
Bio & Medicine
Apr 6, 2023
0
89
The journey between identifying a potential therapeutic compound and Food and Drug Administration approval of a new drug can take well over a decade and cost upward of a billion dollars. A research team at the CUNY Graduate ...
Biochemistry
Oct 17, 2022
0
396
Chemists at Scripps Research have unveiled a method for turning cheap and widely available chemicals known as dicarboxylic acids into potentially very valuable molecules called lactones.
Materials Science
May 27, 2022
0
125
Demand for new kinds of antibiotics is surging, as drug-resistant and emerging infections are becoming an increasingly serious global health threat. Researchers are racing to reexamine certain microbes that serve as one of ...
Cell & Microbiology
Apr 11, 2022
0
139
Drugs can only work if they stick to their target proteins in the body. Assessing that stickiness is a key hurdle in the drug discovery and screening process. New research combining chemistry and machine learning could lower ...
Biotechnology
Mar 15, 2021
0
362
The online cover story of Science Advances this week features a conceptual gastrointestinal (GI) microdevice, developed by a research team for extended drug release. Drug delivery platforms for extended drug release have ...
Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease.
Biochemistry
Feb 11, 2019
0
160
Researchers have launched an ultra-large virtual docking library expected to grow to more than 1 billion molecules by next year. It will expand by 1000-fold the number of such "make-on-demand" compounds readily available ...
Biochemistry
Feb 6, 2019
0
59
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]
This text uses material from Wikipedia, licensed under CC BY-SA