Molecular Property Prediction

Overview

Molecular property prediction studies how to infer quantities such as solubility, toxicity, binding affinity, and quantum energies from molecules, mixtures, or molecular environments. Common approaches use fingerprints and physicochemical descriptors, graph neural networks, molecular language models, and 3D equivariant or multimodal models; some also encode physical laws or learn from experimental and simulated data together. Models are assessed on benchmarks such as MoleculeNet and TDC, with scaffold, temporal, and other out-of-distribution splits used to test transfer to unfamiliar chemistry. A central challenge is that strong in-distribution scores and larger pretrained models do not guarantee reliable extrapolation, while careful classical baselines, data quality, uncertainty estimates, and evaluation design can strongly affect results.

Latest papers

CardsList

204 papers29 papers in the last four weeks, level with the four weeks before. 0.2% of all new papers.

  1. Can Decision Trees Teach Large Language Models? Distilling Verbalized Knowledge for Molecular Property Prediction

    Mar 12, 2026Khiem Le, Sreejata Dey, Marcos Martínez Galindo +4Molecular Property PredictionKnowledge Distillation

  2. Hybrid Quantum-Classical Encoding for Accurate Residue-Level pKa Prediction

    Mar 9, 2026Van Le, Tan LeMolecular Property PredictionProtein Representation Learning

  3. MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery

    Mar 3, 2026Maksim Kuznetsov, Zulfat Miftahutdinov, Rim Shayakhmetov +17Molecular OptimizationMolecular Property Prediction

  4. ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures

    Mar 3, 2026Jinming Fan, Chao Qian, Wilhelm T. S. Huck +2Molecular Property PredictionMolecular Representation Learning

  5. GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models

    Mar 1, 2026Oscar Rivera, Ziqing Wang, Matthieu Dagommer +2Interpretable MLMolecular Property Prediction

  6. MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules

    Mar 1, 2026Idelfonso B. R. Nogueira, Carine M. Rebello, Mumin Enis Leblebici +1Molecular Property PredictionMultimodal Foundation Models

  7. Enhancing Molecular Property Predictions by Learning from Bond Modelling and Interactions

    Feb 28, 2026Yunqing Liu, Yi Zhou, Wenqi FanMolecular Property PredictionMolecular Representation Learning

  8. Tensor Hypercontraction Error Correction Using Regression

    Feb 27, 2026Ishna Satyarth, Eric C. Larson, Devin A. MatthewsComputational Quantum ChemistryQuantum Chemistry

  9. Prediction of Diffusion Coefficients in Mixtures with Tensor Completion

    Feb 26, 2026Zeno Romero, Kerstin Münnemann, Hans Hasse +1Molecular Property PredictionTensor Completion

  10. MolFM-Lite: Multi-Modal Molecular Property Prediction with Conformer Ensemble Attention and Cross-Modal Fusion

    Feb 25, 2026Syed Omer Shah, Mohammed Maqsood Ahmed, Danish Mohiuddin Mohammed +2Molecular Property PredictionMultimodal Fusion

  11. Zatom-1: Towards a Multimodal Foundation Model for 3D Molecules and Materials

    Feb 24, 2026Alex Morehead, Miruna Cretu, Antonia Panescu +143D Foundation ModelsMultimodal Foundation Models

  12. MolGraphBench: A Benchmark of GNN Architectures for Molecular Regression Tasks

    Feb 24, 2026Rajan, Ishaan GuptaGraph Neural NetworksMolecular Property Prediction

  13. Protein Language Models Diverge from Natural Language: Comparative Analysis and Improved Inference

    Feb 24, 2026Anna Hart, Chi Han, Jeonghwan Kim +2Protein Language ModelsProtein Representation Learning

  14. MACE-POLAR-1: A Polarisable Electrostatic Foundation Model for Molecular Chemistry

    Feb 23, 2026Ilyes Batatia, William J. Baldwin, Domantas Kuryla +10Molecular Foundation ModelsMachine Learning Interatomic Potentials

  15. KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction

    Feb 22, 2026Soumik Deb Niloy, Md. Fahmid-Ul-Alam Juboraj, Swakkhar ShatabdaMolecular Property PredictionFeature Fusion

  16. Clapeyron Neural Networks for Single-Species Vapor-Liquid Equilibria

    Feb 20, 2026Jan Pavšek, Alexander Mitsos, Elvis J. Sim +1Molecular Property PredictionMaterials Property Prediction

  17. DuaDeep-SeqAffinity: Dual-Branch Deep Learning for Tri-Stream Sequence-Based Antibody--Antigen Affinity Prediction

    Dec 26, 2025Aicha Boutorh, Soumia Bouyahiaoui, Manel Kara Laouar +3Hybrid CNN-Transformer ArchitecturesMolecular Property Prediction

  18. Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design

    Nov 28, 2025Pankhil Gawade, Adam Izdebski, Myriam Lizotte +4Representation LearningGeometric Representation Learning

  19. Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Networks with Group Lasso Regularization

    Jul 4, 2025Zanyu Shi, Yang Wang, Pathum M. Weerawarna +4Protein-Ligand Binding Affinity PredictionMolecular Property Prediction

  20. A Machine Learning Benchmarking Framework for Lipid Nanoparticle Transfection Efficiency Prediction

    Jul 3, 2025Asal Mehradfar, Mohammad Shahab Sepehri, Jose Miguel Hernandez-Lobato +4Graph Representation LearningMolecular Property Prediction

  21. BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

    May 3, 2025Evan R. Antoniuk, Shehtab Zaman, Tal Ben-Nun +10OOD GeneralizationMolecular Property Prediction

  22. GenShin: Guiding Rational Liposome Design by Ranking Liposomal Protein Corona through a Docking-Pose-Free GNN

    Mar 16, 2025Pingfei Zhu, Hongyi Liu, Xueyan Liu +2Graph Neural NetworksMaterials Science