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Protpardelle: Revolutionizing Protein Design with All-Atom Generative Model
In computational biology, the ability to predict and design protein structures with atomic precision has been a long-standing goal. Proteins, as the fundamental components...
CellAgent: A New Age of Automated Single-Cell Data Analysis
Researchers from the AI for Science Interdisciplinary Research Center, Northwestern Polytechnical University, China, have introduced a ground-breaking tool that may change how single-cell RNA...
How PLINDER is Reshaping the Landscape of Protein-Ligand Interaction Studies for Drug Discovery
Small molecule drug design depends on protein-ligand interactions, and achieving experimental precision necessitates a wide and well-curated dataset. The scarcity of current datasets makes...
Language Models and Chemistry: Accelerating the Path to Novel Therapeutics
In recent years, the integration of artificial intelligence (AI) and machine learning (ML) into various scientific domains has significantly advanced, and chemistry is no...
ProBASS: A Game-changer in Predicting Mutation Impact on Protein Interactions
Researchers from the Department of Biological Chemistry at Hebrew University, Jerusalem, and the Department of Pharmaceutical Chemistry at the University of California, San Francisco,...