Reinforcement learning (RL) is one important branch of artificial intelligence (AI), which
intuitively imitates the learning style of human beings. It is commonly derived from solving …

Amelotin is an intrinsically disordered protein (IDP) rich in Pro residues and is involved in
hydroxyapatite mineralization. It rapidly oligomerizes under physiological conditions of pH …

Understanding the 3D structures of protein multimers is crucial, as they play a vital role in
regulating various cellular processes. It has been empirically confirmed that the multimer …

Accurate blind docking has the potential to lead to new biological breakthroughs, but for this
promise to be realized, docking methods must generalize well across the proteome. Existing …

Thermogenesis is a physiological activity of releasing heat that originates from intracellular
biochemical reactions. Recent experimental studies discovered that externally applied heat …

AlphaFold can be used for both single-chain and multi-chain protein structure prediction,
while the latter becomes extremely challenging as the number of chains increases. In this …

Proteins are key components in many processes in living cells, and physical interactions
with other proteins and nucleic acids often form key parts of their functions. In many cases …

Proteins and nucleic acids are key components in many processes in living cells, and
interactions between proteins and nucleic acids are often crucial pathway components. In …

The regulation of various cellular processes heavily relies on the protein complexes within a
living cell, necessitating a comprehensive understanding of their three-dimensional …

Deep-learning-based methods for protein structure prediction have achieved
unprecedented accuracy, yet their utility in the engineering of protein-based binders remains …