Computer science and chemistry overlap extensively in cheminformatics and molecular modeling
the verdict
SUPPORTED
the evidence backs this
confidence 88/100
Extensive literature confirms that computer science and chemistry deeply overlap in the fields of cheminformatics and molecular modeling, particularly for drug discovery and predictive property modeling.
Evidence for · 12
Recent applications of machine learning in medicinal chemistry.
2018 · cited by 96
Applies machine learning and computer science tools to medicinal chemistry and drug discovery.
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More for · 11
Computational methods for prediction of in vitro effects of new chemical structures
2016 · cited by 57
Utilizes computational approaches like machine learning and quantitative structure-activity relationships to predict chemical safety and activity.
Molecular fragmentation as a crucial step in the AI-based drug development pathway
2024 · cited by 45
Examines molecular fragmentation as a key intersection of computer science and life sciences in drug development.
SERS Cheminformatics: Opportunities for Data-Driven Discovery and Applications
2025 · cited by 21
Explores how cheminformatics combines chemical knowledge and computational methods for molecular modeling and analysis.
Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study
2023 · cited by 16
Discusses computational techniques like QSAR and molecular docking in drug discovery.
A Computational Approach to Predictive Modeling Using Connection-Based Topological Descriptors: Applications in Coumarin Anti-Cancer Drug Properties
2025 · cited by 15
Defines cheminformatics as a bridge between chemistry, computer science, and information technology for predictive modeling.
Artificial Intelligence in Computational and Materials Chemistry: Prospects and Limitations
2025 · cited by 10
Highlights computational chemistry as an intersection of theoretical chemistry and computer science using artificial intelligence.
∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
2024 · cited by 7
Presents neural network potentials as a computational alternative to quantum chemistry methods for predicting molecular properties.
Computer-aided Drug Design: Innovation and its Application in Reshaping Modern Medicine
2024 · cited by 5
Identifies computer-aided drug design as a multidisciplinary field at the interaction of chemistry and computational science.
Contextual Learning in CS1: Integrating a Chemistry Project to Reinforce Core Programming Concepts
2025 · cited by 4
Describes teaching cheminformatics in an undergraduate course as an application of computational methods to chemical data.
Computational Analysis and Predictive Cheminformatics Modeling of Small Molecule Inhibitors of Epigenetic Modifiers
2016 · cited by 3
Applies machine learning algorithms and computational predictive models to small molecule inhibitors in chemistry.
A round-robin exercise for the precise prediction of aqueous solubility of organic chemicals using chemometric, machine learning, and stacking ensemble of deep learning models.
2026 · cited by 1
Employs chemometric, machine learning, and deep learning models to predict the aqueous solubility of organic chemicals.