This is the digital version of my master project's logbook that is created by using Streamlit Python package to document all the command lines and codes that I ran to do my project so that other ...

This is the first systematic and mechanistic study investigating the divergent structure of protein-regulated multiphase ... ranking eighth among all universities and second among private ...

Demis Hassabis of Google DeepMind predicts AI can end all diseases soon. He says AI can drastically cut drug development time ...

Complex protein interactions at synapses are essential for memory formation in our brains, but the mechanisms behind these processes remain poorly understood. Now, researchers from Japan have ...

The two mutations found in all third-round clones were located ... the studies discussed here demonstrate its value for studying protein structure and interactions. The contributions of individual ...

New research challenges the view that proteins are the only key to evolution, highlighting the importance of lipids.

interpretability of protein structure predictions, and protein domain boundary prediction, by DNN, CNN, GNN, RNN, LSTM, ResNet, and LLM deep learning algorithms. For template modeling, all protein ...

Google DeepMind's Demis Hassabis suggested AI might eliminate all diseases in ten years, reducing drug development time ...

Our brain's remarkable ability to form and store memories has long fascinated scientists, yet most of the microscopic ...

Proteins are fundamental biomolecules that perform a broad range of vital functions within the human body. They serve as an essential structural and functional component of cells, tissues and organs ...

Nobel laureate and DeepMind CEO Demis Hassabis envisions a future where AI revolutionizes healthcare by drastically accelerating drug development—from years to weeks—and potentially curing all ...