Research Articles
Benchmarking Global Optimization Algorithms: A 2024 Guide for Drug Discovery and Biomedical Research
This comprehensive benchmark study analyzes the efficiency and applicability of leading global optimization algorithms for biomedical research.
Navigating the Energy Landscape: A Comprehensive Guide to the Basin Hopping Algorithm for Molecular Structure Prediction
This article provides a detailed exploration of the Basin Hopping algorithm, a powerful global optimization technique for predicting molecular structures and conformations.
Binding Potential in Medical Imaging: A Quantitative Guide for Drug Development and Neuroscience Research
This article provides a comprehensive overview of Binding Potential (BP) as a fundamental quantitative parameter in molecular imaging.
Strategic Search in Drug Discovery: Mastering the Exploration-Exploitation Trade-off in Chemical Space
This article provides a comprehensive guide for researchers and drug development professionals on the critical balance between exploring novel regions of chemical space and exploiting known, promising areas.
Automating Hazardous Chemical Handling in Glycan Sample Prep: A Guide to Safer, More Reproducible Research
This article addresses the critical need to automate the handling of hazardous chemicals—such as hydrazine, strong acids, and fluorophores—in glycan sample preparation workflows.
Automated Transition State Search: Global Optimization Methods for Accelerated Reaction Discovery in Drug Development
This article provides a comprehensive guide to automated transition state (TS) search using global optimization algorithms for researchers and drug development professionals.
Automating IgG N-Glycosylation Analysis: A Complete Tecan Platform Protocol for Biopharma Researchers
This article provides a comprehensive guide for automating IgG N-glycosylation sample preparation using liquid handling robots from Tecan.
AlphaFold2 in the Lab: Bridging AI Predictions and Experimental Structural Biology
This article provides a comprehensive guide for structural biologists and drug discovery scientists on integrating AlphaFold2 (AF2) predictions with experimental workflows.
Precision Dosing in Receptor Studies: A Complete Guide to Agent Optimization for Research & Drug Discovery
This comprehensive guide provides researchers and drug development professionals with a systematic framework for optimizing agent dosage in receptor-binding assays and functional studies.
Biased Data, Skewed Results: Mitigating Training Set Bias in Biomedical AI and ML Optimization
Training data bias presents a critical, often hidden, challenge in machine learning for drug discovery and biomedical research, leading to models with poor generalizability and clinical translatability.