New AI model deciphers the code in proteins that tells them where to go
Proteins are the workhorses that keep our cells running, and there are many thousands of types of proteins in our cells, each performing a specialized function. Researchers have long known that the ...
AZoLifeSciences on MSN1d
How Proteins Are Made: From DNA to Function
Protein synthesis is vital for life, translating genetic information from DNA to functional proteins through transcription ...
News Medical2d
Advancing living materials with precise control over mechanical properties
Rice University researchers have revealed novel sequence-structure-property relationships for customizing engineered living ...
Science Daily3d
Researchers discover new way to customize living materials for tissue engineering, drug delivery and 3D printing
Researchers have revealed novel sequence-structure-property relationships for customizing engineered living materials (ELMs), enabling more precise control over their structure and how they respond to ...
Severance’s Title Sequence: Full of Clues or Just Plain Creepy?
W atching Severance’s title sequence is like being swaddled by a night terror — in a good way. When the series debuted in 2022, there was real pleasure in the distinctive feel ...
Quanta Magazine3d
The Poetry Fan Who Taught an LLM to Read and Write DNA
By treating DNA as a language, Brian Hie’s “ChatGPT for genomes” could pick up patterns that humans can’t see, accelerating ...
studyfinds3d
Neuroscience mystery solved? How our brains use experiences to make sense of time
Discover how individual neurons in the brain learn to recognize and predict patterns in the flow of time, providing insights into the structure of time.
eLife3d
HERV activation segregates ME/CFS from fibromyalgia while defining a novel nosologic entity
Abstract Research of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Fibromyalgia (FM), two acquired chronic illnesses affecting mainly females, has failed to ascertain their frequent ...
eLife5d
Variations and predictability of epistasis on an intragenic fitness landscape
This paper addresses the important question of quantifying epistasis patterns, which affect the predictability of evolution, by reanalyzing a recently published combinatorial deep mutational scan ...
EurekAlert!8d
With generative AI, MIT chemists quickly calculate 3D genomic structures
MIT chemists found a new way to determine 3D genome structures, using generative AI, that can predict thousands of genome structures in minutes, making it much speedier than existing methods for ...
IFLScience9d
AI-Generated Glowing Protein Code May Have Taken 500 Million Years To Evolve Naturally
It’s been trained on 771 billion unique tokens – the AI term for a unit of data – taken from databases of natural protein ...
IEEE16d
Multi-Function Radar Signal Sequence Prediction Via Trend Filtering and Similarity Comparison
Abstract: Multi-function radar signal sequence prediction can provide a profound understanding of radar intentions, thereby playing a pivotal role in radar signal analysis. However, traditional ...