AI drug discovery– tag –
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From Beginner to Expert: AI in Drug Discovery – A Definitive Guide from Lab to Market (Part 4: “Antibodies & Biologics × AI”) explores how AI is applied to sequence design, affinity maturation, and developability prediction, and how this differs from small-molecule use cases.
1. Why “Antibodies & Biologics × AI” Is Different from Small Molecules In Part 3, we focused on small-molecule projects. In Part 4, we turn to antibodies and biologics (including antibodies, bispecifics, antibody–drug conjugates, and... -
From Beginner to Expert: AI in Drug Discovery – A Definitive Guide from Lab to Market (Part 3: “Small Molecules × AI”) walks through how AI is actually used from hit finding to lead optimization, highlighting concrete use cases, benefits, and limitations.
1. Why Small Molecules Became the Primary Testbed for AI When you scan AI-in-drug-discovery papers and case studies, the first thing you notice is how many of them focus on small molecules. This is not just because small-molecule R&D... -
From Beginner to Expert: AI in Drug Discovery – A Definitive Guide from Lab to Market (Part 2: “Data and Algorithms Behind AI-Driven R&D”) explains which data types AI relies on, what sources those data come from, and how representative model families are used in practice.
1. Data and Models: The Core of AI in Drug Discovery In Part 1, we mapped where AI can plug into the drug discovery and development value chain and what it can – and cannot – do. In Part 2, we zoom in on the foundations: data and models.... -
From Beginner to Expert: AI in Drug Discovery – A Definitive Guide from Lab to Market (Part 1: “What Is AI in Drug Discovery?”) maps the entire R&D-to-market value chain and clarifies what AI can – and still cannot – do.
1. Why AI in Drug Discovery Is in the Spotlight Now “AI in drug discovery” has become a buzzword in recent years, but it is not a magic technology that appeared overnight. Traditional in silico approaches – QSAR, docking, and statistical... -
The Hidden Pitfall of AI Drug Discovery: The Quiet Wall of Reproducibility in Scientific Literature
Introduction: Past Knowledge Is Now the Starting Point of Future Drug Discovery AI-driven drug discovery has become an increasingly central part of modern pharmaceutical R&D. The speed at which novel drug candidates can be identified... -
Biotech Investment News: Takeda’s 10-Year Deal Summary & 2025 Update (2015–2025)
Strategic Review: Rare Disease, GI, Vaccines, and Innovation Takeda has transformed itself into a global biopharma leader through acquisitions such as Nycomed in 2011 (expanding GI/respiratory reach in Europe), Shire in 2018 (rare diseas... -
Biotech Investment News: Major Pharmaceutical Deals of Boehringer Ingelheim (2015–2025)
Strategic Review: Diversifying into Oncology and Immunology Through Innovative Partnerships Boehringer Ingelheim (BI), traditionally strong in cardiovascular and respiratory areas, has pivoted towards oncology and immune diseases over th... -
Biotech Investment News: Eli Lilly’s Key Deals from 2015 to 2025
Strategic Overview: Dominance in Diabetes and Obesity with Oncology Expansion Eli Lilly has strengthened its global leadership in diabetes and obesity while expanding into oncology, neuroscience, and gene therapy. With the blockbuster su... -
Biotech Investment News: AstraZeneca’s 10-Year Deal Overview & 2025 Update (2015–2025)
Strategic Review: Investing in ADCs, Rare Diseases, and Biomanufacturing Capabilities AstraZeneca has expanded significantly in oncology through antibody and ADC partnerships, including a high-profile collaboration with Japan’s Daiichi S... -
Biotech Investment News: Pfizer’s Major Deals Over the Last Decade (2015–2025)
Strategic Review: From mRNA Success to Diversification in Rare Diseases, ADCs, and RNA Editing Pfizer strengthened its biopharmaceutical base with the acquisition of Hospira and GSK’s vaccine assets in 2015, followed by a major expansion...
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