Valliappan Kannappan

Can an AI truly understand a molecule if it cannot tell left from right? Artificial intelligence now shapes the earliest and most consequential stages of drug discovery, from virtual screening and ADMET prediction to generative molecular design. Yet many of these systems operate in an effectively achiral digital environment, where molecules are represented as flat …

Teaching Machines to See in 3D: The Chiral Blind Spot in AI-Driven Drug Discovery Read More »

❓ Can AI truly be intelligent if it is stereo-blind? 🌀 On Visuals and Stereochemical TruthSome illustrations in this series are generated or assisted by AI to support conceptual understanding. These visuals are intentionally simplified and should not be read as stereochemically rigorous or chemically exact representations. Wherever stereochemical fidelity matters, it is addressed explicitly …

Episode 5: Beyond Bias: Toward Chiral Intelligence Read More »

❓ How do we move from recognizing chiral bias to responsibly fixing it? On Visuals and Stereochemical TruthSome illustrations in this series are generated or assisted by AI to support conceptual understanding. These visuals are intentionally simplified and should not be read as stereochemically rigorous or chemically exact representations. Wherever stereochemical fidelity matters, it is …

Episode 4: Fixing the Bias: Data, Models and Generative Constraints Read More »

“When molecules have two hands but AI only sees one.” On Visuals and Stereochemical TruthSome illustrations in this series are generated or assisted by AI to support conceptual understanding. These visuals are intentionally simplified and should not be read as stereochemically rigorous or chemically exact representations. Wherever stereochemical fidelity matters, it is addressed explicitly in …

Episode 3: When Algorithms Miss the Mirror: How Chiral Blind Spots Break the Pipeline? Read More »