INSIGHTS ON DRUG DEVELOPMENT
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KORSCH Virtual Pharma Expo September 2025: Oral Solid Dose Manufacturing And Packaging
Simulate high-speed tablet production early in development with minimal material. Gain accurate scale-up, faster material characterization, and flexible formulation options—all with one compaction simulator.
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EMA Support For SMEs Through Scientific Advice And Early Dialogue
Discover how early engagement with European regulators helps smaller drug developers reduce uncertainty, clarify requirements, and de‑risk innovative programs through early dialogue.
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The Innovation Of Testing Conjugated ADC Molecules
Explore how evolving ADCs are reshaping testing strategies, from potency and binding to purity, as well as what is required to evaluate both traditional cytotoxic payloads and emerging modalities.
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Direct API Capsule Filling: A Faster Path To Market
Direct API capsule filling eliminates complex formulation steps, leveraging volumetric drum dosing and 100% net weight verification to accelerate drug development timeline efficiency.
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Delivering Critical Therapies With Speed And Safety6/26/2026
Faster approvals depend on treating regulation as part of development, not the finish line. See how early quality planning and strong agency communication can move therapies toward patients sooner.
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The Patent Cliff Looms – Design Your Biosimilar Approach Accordingly3/3/2025
In your pursuit of developing a high-quality biosimilar, think strategically. Consider what type of biologic your team’s expertise can support and which is needed most in your target market.
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AI Enabled Pharmaceutical Cocrystal Screening9/3/2026
Cocrystal candidate screening is resource-intensive and prone to gaps. This paper examines how AI-based modeling, trained on more than 20,000 data points, can sharpen candidate prioritization without sacrificing scientific rigor.
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Nitrosamine Testing: How To Ensure Regulatory Compliance, Product Safety9/16/2025
Explore what nitrosamines are, why testing matters, and how we're able to deliver high-confidence solutions through advanced science and industry-leading expertise.
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Overview Of Hot Melt Extrusion And Its Pharmaceutical Applications8/31/2026
More than 40% of NCEs face aqueous solubility challenges. Here, we examine how hot melt extrusion addresses solubility, modified release, abuse deterrence, and scale-up across pharmaceutical development.
DRUG DEVELOPMENT SOLUTIONS
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A smarter approach to method selection helps labs reduce guesswork and maintain consistent results. Learn how structured workflows and guided optimization can support confident decisions.
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Nanoform’s award-winning Controlled Expansion of Supercritical Solutions (CESS®) technology is a bottom-up nanoparticle engineering approach that enables the creation of API nanoparticles and can unlock the full therapeutic potential of small molecule drugs.
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Waters MaxPeak Premier Columns and Solutions dramatically reduce NSA with MaxPeak High Performance Surfaces, innovative technologies designed to reduce analyte loss due to analyte/surface interactions.
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Enhance your research and obtain exceptional imaging and analysis with a configurable and upgradeable high-content screening system that captures high-definition images and robust data from 2D and 3D assays.
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Calculators & Predictors for LogP, LogD, pKa, Aqueous Solubility, and more…
The physicochemical properties of a molecule can help you better understand its likely behavior, support QSPR high-throughput screening (HTS) of libraries, and data-driven lead optimization.
ACD/PhysChem Suite is made up of a number of prediction modules. It provides high-quality, structure-based calculations of physicochemical properties.
- Predict aqueous solubility,* boiling point, logD,* logP,* pKa,* Sigma, and other molecular descriptors for organic compounds, from structure
- Evaluate the calculated results with sorting, plotting tools
- Assess the reliability of predicted physicochemical property values
- Investigate quantitative structure-property relationships, structure modifications, and/or lead optimization for a target profile
- Train predictors with experimental data to better reflect novel chemical space
- Include custom models and in-house prediction algorithms
*Models are trainable with experimental data