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How Generative AI is Revolutionizing Drug-Target Interaction Prediction
Generative AI is revolutionizing Drug-Target Interaction (DTI) prediction by automating drug design, improving binding accuracy, and accelerating discovery timelines. It replaces manual, trial-and-error methods with predictive, end-to-end pipelines. While challenges like interpretability and data quality persist, real-world case studies show its promise. GenAI is set to reshape pharma by making drug discovery faster, smarter, and more scalable.
Gokul Rangarajan
3 days ago8 min read


Why Biotech Startups Are Betting Big on AI-Powered Molecular Simulations
Explore how Generative AI is reshaping molecular simulations in drug discovery—from accelerating virtual screening to designing novel drug compounds and predicting protein structures. With advanced tools like AlphaFold and DiffDock, and platforms like Kwapio, biotech teams can now reduce costs, increase speed, and bring AI-native clarity to in silico testing. Powered by Pitchworks VC Studio, this shift is driving faster, smarter, and more scalable drug development.
Gokul Rangarajan
5 days ago9 min read


Gen AI Based Molecular Property Prediction: A Silent Revolution in Drug Discovery
Gen AI is revolutionizing Molecular Property Prediction (MPP) by enabling accurate, scalable insights from SMILES, graphs, and 3D structures. Platforms like Pitchworks and Kwapio combine AI with agile project management—integrating tasks, data, and models into a seamless workflow. This boosts speed, reproducibility, and collaboration, turning MPP into a reliable engine for drug discovery and formulation.
Gokul Rangarajan
Jul 17 min read


From Molecules to Models Part 2: Auto-Generated Docking Reports In Silico Compound Screening
This blog explores how Docking Reports are generated during in silico compound screening—who uses them, when they’re needed, and why they’re critical. It covers the shift from manual workflows to Gen AI-powered automation, detailing how Agentic AI handles parsing, summarizing, and visualizing results. By integrating with tools like AutoDock and Glide, it ensures fast, compliant, and explainable report generation.
Gokul Rangarajan
Jun 2211 min read


Designing Drugs from Scratch: How AI could Re-Code Pharma’s Rulebook in the De Novo Molecular Generation
The Molecular Design Canvas is an AI-first interface that helps scientists design new drug molecules faster. It combines 3D visualization, property prediction, and agentic AI suggestions to optimize molecules for safety, efficacy, and synthesizability. With real-time feedback and generative tools, it transforms drug discovery into an intuitive, collaborative, and data-driven experience.
Gokul Rangarajan
Jun 157 min read


How GenAI is Transforming the Way We Synthesize Scientific Knowledge
Pitchworks BioResearch is a GenAI-powered micro app that streamlines the biomedical research process. It enables natural language literature search, intelligent document analysis, hypothesis generation, and interactive knowledge graph exploration. By automating time-consuming tasks, it boosts researcher productivity by over 30%, making discovery faster, smarter, and more efficient across the life sciences workflow.
Gokul Rangarajan
Jun 135 min read


Unlock 10X Enterprise Growth: The Only GenAI Strategy Roadmap You’ll Ever Need
Many enterprises struggle with GenAI adoption due to vague use cases, weak leadership support, and poor change management. Pitchworks VC Studio offers a 9-stage GenAI Strategy Roadmap designed to solve this—starting from leadership alignment and AI training to use case mapping, implementation, and continuous upskilling. This framework ensures enterprises unlock ROI-driven, scalable, and sustainable AI impact across functions.
Gokul Rangarajan
Jun 125 min read
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