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Semen Yesylevskyy

Semen Yesylevskyy

·Apr 20

Undruggable targets: the major challenge for modern drug discovery

The AI approaches for beating undruggability — The most frightening word in modern drug discovery is “undruggable”. This rather vague term means that it is notoriously hard or even impossible to find a drug which would act upon a particular molecular target (most often the protein). According to recent estimates, up to 85% of all human proteins…

Undruggable

5 min read

Undruggable targets: the major challenge for modern drug discovery
Undruggable targets: the major challenge for modern drug discovery

Semen Yesylevskyy

Semen Yesylevskyy

·Jan 13

Is Alzheimer’s disease too complex even for AI?

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. …

5 min read

Is Alzheimer’s disease too complex even for AI?
Is Alzheimer’s disease too complex even for AI?

Semen Yesylevskyy

Semen Yesylevskyy

·Jan 5

AI could be used to reduce bacterial food poisoning

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. …

Food

3 min read

AI could be used to reduce bacterial food poisoning
AI could be used to reduce bacterial food poisoning

Semen Yesylevskyy

Semen Yesylevskyy

·Dec 9, 2021

AI contributes to understanding polypharmacology with explainable ML

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. …

Machine Learning

4 min read

AI contributes to understanding polypharmacology with explainable ML
AI contributes to understanding polypharmacology with explainable ML

Semen Yesylevskyy

Semen Yesylevskyy

·Nov 19, 2021

The AI that speaks the language of chemical reactions natively

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

7 min read

The AI that speaks the language of chemical reactions natively
The AI that speaks the language of chemical reactions natively

Semen Yesylevskyy

Semen Yesylevskyy

·Oct 15, 2021

When painkillers kill: AI predicts severe adverse effects of NSAIDs

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…

AI

4 min read

When painkillers kill: AI predicts severe adverse effects of NSAIDs
When painkillers kill: AI predicts severe adverse effects of NSAIDs

Semen Yesylevskyy

Semen Yesylevskyy

·Oct 8, 2021

Better sleep with AI

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. …

AI

4 min read

Better sleep with AI
Better sleep with AI

Semen Yesylevskyy

Semen Yesylevskyy

·Sep 26, 2021

Will AI save us from antibiotic resistance?

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…

Antibiotics

4 min read

Will AI save us from antibiotic resistance?
Will AI save us from antibiotic resistance?

Semen Yesylevskyy

Semen Yesylevskyy

·Sep 16, 2021

AI predicts interactions of the drugs having no clue about their chemical nature

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…

AI

5 min read

AI predicts interactions of the drugs having no clue about their chemical nature
AI predicts interactions of the drugs having no clue about their chemical nature

Semen Yesylevskyy

Semen Yesylevskyy

·Sep 4, 2021

Just fold it: AI breakthrough into RNA structure prediction

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…

Machine Learning

4 min read

Just fold it: AI breakthrough into RNA structure prediction
Just fold it: AI breakthrough into RNA structure prediction
Receptor.AI

Receptor.AI provides an AI-powered drug discovery platform for pharma, biotech and academia that covers the whole drug discovery pipeline in a scalable manner.

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Editors

Receptor.AI Company

Receptor.AI Company

Official account of RECEPTOR.AI company. We make the cell membranes druggable to provide new treatments for cancer and cardiovascular diseases.

Semen Yesylevskyy

Semen Yesylevskyy

PhD, Doctor of Sciences, researcher in the area of molecular dynamics and drug discovery. CSO of Receptor.AI. https://t.me/semen_yesylevskyy

Ivan Kolehin

Ivan Kolehin

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