A graphic representation of a round, lumpy, blue protein and a single, comblike, purple strand of RNA interacting with a twisted, double, blue strand of DNA that separates where it meets the RNA. A ...

Abstract: Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are ...

This valuable work presents an interpretable protein-DNA Energy Associative (IDEA) model for predicting binding sites and affinities of DNA-binding proteins. While the method is convincing, it ...

Systemic, structural change has always been a part of the perspective of the Greater Good Science Center. In a 2022 essay, editor Jeremy Adam Smith defines structural forces in the context of our work ...

Abstract: RNA binding proteins (RBPs) play a crucial role in regulating biological functions through their interactions with specific RNAs, significantly impacting various life processes.

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

31/03/2025 Added MULAN-ESM2 checkpoints for medium and large models, updated MULAN-small. Code update: MULAN now uses rotary positional embeddings and has improved quality. 20/05/2025 MULAN is ...

Researchers of ancient Egypt discovered “five identical structures near the Khafre Pyramid’s base, linked by pathways, and eight deep vertical wells descending 648 meters underground.” Claims that ...

Deep generative models that learn from the distribution of natural protein sequences and structures may enable the design of new proteins with valuable functions. While the majority of today’s models ...

Chemists have 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 ...

Proteins, the essential molecular machinery of life, play a central role in numerous biological processes. Decoding their intricate sequence, structure, and function (SSF) is a fundamental pursuit in ...

This important study advances our understanding of the way neurons in the auditory cortex of mice respond to unpredictable sounds. Through the use of state-of-the-art recording methods, compelling ...