Mind Matters Natural and Artificial Intelligence News and Analysis

CategoryCell biology

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human cells in a blue background, 3d illustration

How Do Individual Cells Make Decisions?

They have no brains but they solve problems for a purpose and make decisions. Claiming they “evolved” to do so doesn’t answer the question
Material cells can only make decisions if specifically structured to follow a blueprint with rules of engagement. Where is the blueprint? Read More ›
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messenger ribonucleic acid windinding around a ribosome to produce proteins

Can AlphaFold Handle Disordered Proteins? A Biophysicist Says Yes

Jed Macosko takes issue with Erik J. Larson’s assessment here at Mind Matters News that proteins with no fixed order are likely to stump AI
Macosko’s assessment: “AlphaFold represents a true revolution. In the end, it will be able to solve many questions about intrinsically disordered proteins.” Read More ›
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3D Molecular Visualization: Complex Biomolecule Structure Models. Generative AI.

AI in Biology: The Future AI Didn’t Predict

It doesn’t look like the past. Physical systems that evolve over time but don’t follow a fixed formula have always presented a deep challenge to AI
The problem of outliers or “edge cases” has frustrated AI scientists and engineers (and now structural biologists) for decades, and there’s no good answer yet. Read More ›
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IDP Clinical Trials: Illustrate the stages of clinical trials for drugs targeting intrinsically disordered proteins, from preclinical testing to phase III trials.

AI in Biology: So Is This the End of the Experiment? No.

But a continuing challenge is that many of the most biologically important proteins don’t adopt a single stable structure. Their functions depend on structural fluidity
The core issue AI isn’t just missing data — AlphaFold’s entire approach is built on assumptions that don’t apply to disordered proteins. Read More ›
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AlphaFold Accuracy Visualization on a Tablet Cutting-Edge Biochemical Analysis

AI in Biology: What Difference Did the Rise of the Machines Make?

AI works very well for proteins that lock into a single configuration, as many do. But intrinsically disordered ones don’t play by those rules
The resulting problems aren’t a temporary bug — they’re a basic limitation of training a machine learning model on a dataset where proteins always fold neatly. Read More ›
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the elaborate process of protein folding, essential for proper function within living organisms

AI in Biology: AI Meets Intrinsically Disordered Proteins

Protein folding — the process by which a protein arrives at its functional shape — is one of the most complex unsolved problems in biology
The mystery of protein folding remains unsolved because, as is so often the case with AI narratives, the reality is much more complicated than the hype. Read More ›