AD research with AI is massive but does it pays out? — Alzheimer’s disease (AD) is one of the most fearsome curses of our rapidly aging civilization. This severe neurodegenerative disease is still not treatable and once diagnosed will inevitably lead to mental disability and dementia. …

Novel sequencing technologies and AI classifiers may bring disease surveillance to a new level — “Food poisoning” is a common condition, experienced by almost all people at least once in their lives. The symptoms are nausea, fever, abdominal pain, and diarrhea, which are unpleasant but usually not life-threatening. However, even lethal cases are detected annually. Most of such conditions are classified as bacterial gastroenteritis. …

The chemical features, which make drugs selective to several targets at once could be deduced from predictive AI models. — Modern pharmacology is dominated by the “strict selectivity” paradigm. The drug is usually considered “good” if it interacts selectively with a predefined molecular target, associated with a particular disease or condition. …

AI predicts results of complex chemical reactions with 90% accuracy — The problem which is kind of solved but not really The history of rational drug discovery is a constant drift from experiments in the wet lab towards in silico simulations. This trend is easily explained by much lower cost and much higher speed of simulations in comparison to even the most efficient and automated experimental procedures.

AI-based model can help doctors to provide personalized prescriptions of painkillers — Non-steroidal anti-inflammatory drugs (abbreviated as NSAIDs) are among the most extensively prescribed medicines on this planet. All common over the counter painkillers are NSAIDs. The variety of more powerful NSAIDs, which are prescribed to cope with severe pain or inflammation, exist. The pharmacological profile of these drugs is very well…

ML approach to finding drugs for circadian clock modulation — Circadian clock is the fascinating molecular system in our cells which is responsible for regulating the day-night cycles in all living organisms. …

The field of AI/ML-based search for new antibiotics explodes, but there is still a long way to go. — Antibiotic resistance is a global problem. Continuous evolution of bacteria under the pressure of antimicrobial drugs quickly drives them resistant to all known antibiotics. Such resistant “superbacteria” are responsible for 35,000 deaths in USA alone per year. The search for new antibiotics is currently slower than the pace of bacterial…

AI agrees that who increases knowledge increases sorrow. At least for prediction of the drug-drug interactions. — “For with much wisdom comes much sorrow; the more knowledge, the more grief.” Ecclesiastes 1:18 When doctor prescribes you some medicines your are usually asked about what other drugs you currently use. This is the most common everyday manifestation of the problem of drug-drug interactions. Certain drugs are mutually exclusive…

New deep learning model predicts 3D structures of RNA with unseen accuracy — RNA is a unique polymer which is able to hold information it its nucleotide sequence and to fold into three-dimensional shapes, which is determined by this sequence. According to the widely accepted concept of the “RNA world” the life on Earth have started from the primordial soup of self-replicating RNA…