Research Articles
Machine Learning for Materials Property Prediction: From Algorithms to Biomedical Applications
This article provides a comprehensive overview of the transformative role of machine learning (ML) in predicting material properties, with a special focus on applications relevant to researchers and drug development...
From Data to Drugs: A Practical Guide to Machine Learning in QSAR for Modern Drug Discovery
This article provides a comprehensive overview of machine learning (ML) applications in Quantitative Structure-Activity Relationship (QSAR) modeling for drug discovery professionals and researchers.
Navigating the Chemical Universe: AI and Computational Strategies for Accelerated Materials Discovery
This article provides a comprehensive overview of the computational methods and artificial intelligence (AI) tools revolutionizing the exploration of chemical space for materials discovery.
Exploratory Research Design for Novel Materials: A Foundational Guide for Scientists and Developers
This article provides a comprehensive guide to exploratory research design tailored for researchers, scientists, and drug development professionals working with novel materials.
Generative AI for Materials Science: Principles, Models, and Applications in Drug Development
This article provides a comprehensive overview of the principles of generative artificial intelligence (AI) and its transformative impact on materials discovery and design, with a special focus on applications for...
De Novo Materials Design: From AI-Driven Discovery to Functional Proteins and Therapeutics
This article provides a comprehensive overview of the fundamentals of de novo materials design, a transformative approach that creates new materials and molecules from scratch rather than modifying existing ones.
Beyond the Molecule: How BERT is Revolutionizing Materials and Drug Property Prediction
This article explores the transformative application of BERT-based architectures in predicting materials and molecular properties, a critical task in drug development and materials science.
Predicting Material Properties: A Machine Learning Roadmap for Accelerated Discovery
This article provides a comprehensive overview of machine learning (ML) applications for predicting material properties from structural data, tailored for researchers and drug development professionals.
Reproducibility vs Replicability in Science: A Clear Guide for Researchers and Drug Developers
This article clarifies the critical distinction between reproducibility (obtaining consistent results using the same data and code) and replicability (obtaining consistent results across studies with new data) in scientific research.
Ensuring Reproducibility in Robotic Synthesis: A Comprehensive Assessment for Biomedical Research
This article provides a systematic assessment of reproducibility in robotic synthesis platforms, a critical challenge for researchers and drug development professionals.