Thursday, December 11, 2025
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Cryobioprinting a technique for printing frozen and complex structures uses bioink...

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A newly introduced technique takes bioprinting -; where the ink of cells does printing, layer by layer, forming a structure -; to a whole...

Predicting Gene Expression From DNA Sequence Using AI

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Interpreting gene expression from the DNA sequence is one of the most challenging problems in genome biology. Decoding DNA sequence with the help of...
SARS-CoV-2 mechanism

SARS-CoV-2 Mechanism of Evading Immune System Revealed

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The mechanism used by SARS-CoV-2 to escape the host immune system has been revealed by scientists from Hokkaido University, Japan and Texas A&M University,...

Must Read

Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI

Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI

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Peptides, which are short chains of amino acids, have become increasingly important in the world of medicine and biotechnology. Their unique properties make them...
Can Machine Learning Finally Crack the Protein Expression Code?

Can Machine Learning Finally Crack the Protein Expression Code?

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A team of researchers from the University of Edinburgh and collaborators from institutions like Stanford and UC San Francisco have tackled a central question...
AlphaGenome

AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function

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Imagine holding a book written in a language where only 2% of the pages contain clear instructions, while the remaining 98% seem like indecipherable...
From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?

From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?

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In modern biology, accurately simulating biomolecular interactions is a major difficulty. Our capacity to predict biomolecular complex structures has significantly improved with recent developments...
D-I-TASSER Outperforms AlphaFold? A New Frontier in Protein Structure Modeling

D-I-TASSER Outperforms AlphaFold? A New Frontier in Protein Structure Modeling

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The requirement and utility of conventional force field-based folding simulations have been called into question by the overwhelming success of deep learning techniques in...