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ProteinBench: Unveiling the True Potential of Protein Foundation Models
A notable progress in protein prediction and generative tasks, such as 3D structure prediction, protein design, and conformational dynamics, has been made in recent...
How Are Transformer Models Bridging the Gap Between Data and Drug Discovery?
A recently published work by researchers from the Wuhan Textile University, China, and Michigan State University, USA, has addressed the use of transformer models...
Unlocking Molecular Dynamics: Dynaformer, a Graph-Based Deep Learning Model for Binding Affinity Prediction
One major obstacle in structure-based drug design is accurately predicting the affinities of protein-ligand interaction. The accuracy of data-driven affinity prediction methods has improved...
Can We Measure Protein Interactions at Unprecedented Scale? MP3-seq Says Yes!
Numerous biological processes are regulated by protein-protein interactions (PPIs), and modified PPIs have uses in gene and cell therapy. Here, researchers from the University...
ChatMol: Pioneering Conversational Molecular Design with AI
ChatMol, an innovative AI model designed by Tsinghua University, PingAn Technology, and Beijing University of Posts and Telecommunications researchers, shapes the contours of the...