Model analyzes how viruses escape the immune system

One reason it's so difficult to produce effective vaccines against some viruses, including influenza and HIV, is that these viruses mutate very rapidly. This allows them to evade the antibodies generated by a particular vaccine, ...

DeepTFactor predicts transcription factors

A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...

Prediction of protein disorder from amino acid sequence

Structural disorder is vital for proteins' function in diverse biological processes. It is therefore highly desirable to be able to predict the degree of order and disorder from amino acid sequence. Researchers from Aarhus ...

New gene regulation model provides insight into brain development

In every cell, RNA-binding proteins (RBPs) help tune gene expression and control biological processes by binding to RNA sequences. Researchers often assume that individual RBPs latch tightly to just one RNA sequence. For ...

Structural biology reveals new target to neutralize COVID-19

An international team of researchers have discovered a new and highly conserved site on the SARS-CoV-2 virus that can be neutralized by a specific antibody. Previous studies have reported that antibodies that block the virus ...

Study reveals DNA 'grammar'

DNA three-dimensional structure is determined by a series of spatial rules based on particular protein sequences and their order. This was the finding of a study recently published in Genome Biology by Luca Nanni, Ph.D. student ...

Binding sites for protein-making machinery

ETH Zurich researchers can predict how tightly a cell's protein synthesis machinery will bind to RNA sequences—even when dealing with many billions of different RNA sequences. This binding plays a key role in determining ...

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