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Drug Design

Papers

Showing 251–275 of 440 papers

TitleStatusHype
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models—0
Unified Guidance for Geometry-Conditioned Molecular Generation—0
Synergistic Benefits of Joint Molecule Generation and Property Prediction—0
Uni-Mol: A Universal 3D Molecular Representation Learning Framework—0
Unveiling the frontiers of deep learning: innovations shaping diverse domains—0
Using Deep Reinforcement Learning to Generate Rationales for Molecules—0
Using the structural kinome to systematize kinase drug discovery—0
Vertex-Edge Weighted Molecular Graphs: A study on topological indices and their relevance to physicochemical properties of drugs in use cancer treatment—0
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification—0
Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based Reinforcement Learning Model—0
xTrimoABFold: De novo Antibody Structure Prediction without MSA—0
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development—0
Multi-objective generative AI for designing novel brain-targeting small molecules—0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
Evolutionary training-free guidance in diffusion model for 3D multi-objective molecular generation—0
3D Molecular Generation via Virtual Dynamics—0
A 3D pocket-aware and evolutionary conserved interaction guided diffusion model for molecular optimization—0
Accurate Free Energy Estimations of Molecular Systems Via Flow-based Targeted Free Energy Perturbation—0
A Comprehensive Review of Emerging Approaches in Machine Learning for De Novo PROTAC Design—0
A Comprehensive Review of Generative AI in Healthcare—0
A Constraint Programming Approach to Weighted Isomorphic Mapping of Fragment-based Shape Signatures—0
Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation—0
A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly—0
AI challenges for predicting the impact of mutations on protein stability—0
AlgoRxplorers | Precision in Mutation: Enhancing Drug Design with Advanced Protein Stability Prediction Tools—0
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