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Papers citing Coupling complementary strategy to flexible graph neural network for quick discovery of coformer in diverse co-crystal materials

  1. Recent Advances of Organic Cocrystals in Emerging Cutting‐Edge Properties and Applications

    Angewandte Chemie · 2024-09-21

    Xin Wang, Zongrui Wang, Xiang Wang, Fangyuan Kang, Qianfeng Gu, Qichun Zhang

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  2. Cocrystal Prediction Tool (CCPT): A Web Server for Deep Learning-Assisted Cocrystal Screening and Density Evaluation

    Crystal Growth & Design · 2024-09-25

    Jiali Guo, Songran Yang, Chenghui Wang, Jing Liu, Yanzhi Guo, Zongwei Yang, Xueyan Zhao, Xuemei Pu

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  3. Interpretable and Physicochemical-Intuitive Deep Learning Approach for the Design of Thermal Resistance of Energetic Compounds

    The Journal of Physical Chemistry A · 2024-10-08

    Haitao Liu, Chen Peng, Chaoyang Zhang, Xin Huang

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  4. CMSSP: A Contrastive Mass Spectra-Structure Pretraining Model for Metabolite Identification

    Analytical Chemistry · 2024-10-14

    Lu Chen, Bing Xia, Yu Wang, Xia Huang, Yu‐Cheng Gu, Wenlin Wu, Yan Zhou

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  5. DVL-CC: A Novel Dual-View Learning Framework for Compound Cocrystal Prediction Boosted by View Consistency and Complementarity

    ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · 2024-11-22

    Hong Yu, Bei Zhu, Bing-Xue Du, Xue-Xin Wei, Hui Yu, Jian‐Yu Shi

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  6. Graph-based intermolecular interaction prediction enables rational design of co-crystals

    Journal of Materials Chemistry A · 2025-01-01

    Xiurong Yang, Ying Wang, Linhu Pan, Ruihui Wang, Yi Wang, Honglei Xia, Siwei Song, Qinghua Zhang

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  7. High-throughput encapsulated nanodroplet screening for accelerated co-crystal discovery

    Chemical Science · 2025-01-01

    Jessica P. Metherall, Philip Corner, James Francis McCabe, Michael Richard Probert, Michael J. Hall

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  8. Hybrid computational approaches for accurate crystalline density prediction of cyclo -pentazolate salts

    CrystEngComm · 2025-01-01

    Chao Chen, Yilin Cao, Yiding Ma, Weipeng Lai, Tao Yu, Zhixiang Zhang, Sergey V. Bondarchuk, Yingzhe Liu

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  9. Recent developments on co-crystal polymorphs: from formation to prediction

    CrystEngComm · 2025-01-01

    Xiaoxiao Liang, Anders Støttrup Larsen, Philipp Hans, Di Xu, Yunxia Li, Inês C. B. Martins, Thomas Rades, Yanbin Jiang

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  10. SVCPI: A Soft Voting Ensemble-Based Model for Compound-Protein Interaction Prediction

    IEEE Transactions on Computational Biology and Bioinformatics · 2025-02-06

    Lu Chen, Yu Wang, Yu-Cheng Gu, Yan Zhou, Bing Xia

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  11. Exploring Coformer Substitution in Cocrystallization: Griseofulvin and Phenol Derivatives

    Crystal Growth & Design · 2025-02-14

    Janine Lässer, Doris Elfriede Braun

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  12. DTF-diffusion: A 3D equivariant diffusion generation model based on ligand-target information fusion

    Computational Biology and Chemistry · 2025-02-22

    Jianxin Wang, Yongxin Zhu, Yushuang Liu, Bin Yu

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  13. Cocry-pred: A Dynamic Resource Propagation Method for Cocrystal Prediction

    Journal of Chemical Information and Modeling · 2025-03-12

    Wenxiang Song, Ren Peng, Hongbo Yu, Meiling Zhan, Guixia Liu, Weihua Li, Guo‐Bin Ren, Bin Zhu, Yun Tang

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  14. Cocrystal Formation Prediction: Hybrid GIN-Mordred Model Outperforms DFT-Based Methods

    Crystal Growth & Design · 2025-03-28

    Mohammad Amin Ghanavati, Sohrab Rohani

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  15. Caprolactam Cocrystals: Bridging Virtual Screening to Experimental Solid-State Forms and Stability

    Crystal Growth & Design · 2025-03-31

    Tom L. Petrick, Alexander Hubmann, Doris Elfriede Braun

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  16. Recent advances in pharmaceutical cocrystal design: leveraging in-silico technologies for enhanced drug development

    Crystallography Reviews · 2025-04-03

    Dhananjay Pagare, Rajkumar S. Sirsam, Shweta Devare, Poonam Patil, Jayesh Shivaji Patil

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  17. Virtual Screening of Pharmaceutical Cocrystals Using Machine Learning Algorithms

    Crystal Growth & Design · 2025-04-25

    Roshni Jayachandiran, Suneesh Jacob Akkarapakam, T. Karthick

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  18. Deep Supramolecular Language Processing for Co‐Crystal Prediction

    Angewandte Chemie · 2025-05-13

    Rebecca Birolo, Rıza Özçelik, Andrea Aramini, Roberto Gobetto, Michele R. Chierotti, Francesca Grisoni

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  19. Deep Supramolecular Language Processing for Co‐Crystal Prediction

    Angewandte Chemie International Edition · 2025-05-13

    Rebecca Birolo, Rıza Özçelik, Andrea Aramini, Roberto Gobetto, Michele R. Chierotti, Francesca Grisoni

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  20. Study on the performance and efficient preparation of an ADN-based cocrystal by acoustic resonance mixing technology

    Journal of Solid State Chemistry · 2025-05-21

    Xiaoting Ren, Liutian Tang, Xiang Hu, Jinxuan He, Aimin Pang

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  21. Resources for Accelerating Medicine Discovery

    Burger's Medicinal Chemistry and Drug Discovery · 2025-05-26

    Maria Cristina Garcia‐Paredes, Pushkar G. Ghanekar, Rachel K. Chambers, Anne‐Marie Dechert Schmitt, Katie L. Cavanagh, Eric M. Woerly

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  22. Ammonium Organosulfonates as Machine Learning-Driven “Crystallization Cocktails” for the Structure Determination of Liquid Molecules

    Crystal Growth & Design · 2025-05-29

    Anastasia A. Danshina, Ivan Zlobin, С. Е. Соловьева, Nikolai Rekut, Yulia Vladimirovna Nelyubina

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  23. From Binary to Higher‐Order Organic Cocrystals: Design Principles and Performance Optimization

    Angewandte Chemie · 2025-06-05

    Jia‐Hao Jiang, Shuai Zhao, Yanqiu Sun, Xuedong Wang

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  24. From Binary to Higher‐Order Organic Cocrystals: Design Principles and Performance Optimization

    Angewandte Chemie International Edition · 2025-06-05

    Jia‐Hao Jiang, Shuai Zhao, Yanqiu Sun, Xuedong Wang

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  25. Synergistically enhanced safety and energy density of energetic materials via interfacial constraint

    Advanced Composites and Hybrid Materials · 2025-06-17

    Xu Zhao, Minghui Yu, Dan Liú, Haorui Zhang, Junru Wang, Guansong He, Qi‐Long Yan, Zhijian Yang

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  26. Farthest point sampling in property designated chemical feature space as an effective strategy for enhancing the machine learning model performance for small scale chemical dataset

    Journal of Materials Informatics · 2025-06-19

    Yuze Liu, Lejia Wang, Weigang Zhu, Xi Yu

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  27. MFPLI: A Computational Framework for Assessing Biological Authenticity of Protein-Ligand Interactions Using Molecular Fingerprints and Structural Features

    bioRxiv (Cold Spring Harbor Laboratory) · 2025-06-19

    Hao Zhang, Jiqing Zheng, Haoxiang Li, Shizhang Wan, Guiyu Guan, Bin Li, Lei Liu, Wei He

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  28. Integrating AI into OLED material design: a comprehensive review of computational frameworks, challenges, and opportunities

    中国科学通报:英文版 · 2025-07-15

    Yiming Shi, Ming Sun, Haochen Shi, Zhiqin Liang, Bo Qiao, Suling Zhao, Xuemei Pu, Dandan Song

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  29. A Combined Experimental and Modeling Workflow to Tune Surface Properties of Organic Materials via Cocrystallization

    Chemistry of Materials · 2025-07-17

    Emmanuele Parisi, Giulia Del Duca, Emilia Prandini, Silvia Fraterrigo Garofalo, Chiara Rosso, Michele R. Chierotti, Elena Simone

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  30. The Structural Regulation and Properties of Energetic Materials: A Review

    Nanomaterials · 2025-07-23

    Jin Yu, Siyu Xu, Weiqiang Pang, Hanyu Jiang, Zihao Zhang

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  31. The Structure of Nitro‐ and Polynitropyrazoles: X‐Ray Crystallography Versus Theoretical Calculations

    Asian Journal of Organic Chemistry · 2025-07-31

    Rosa M. Claramunt, Marta Pérez‐Torralba, José Elguero, Ibón Alkorta

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  32. Ever-Increasing Role of Computational Tools in Solid-State Pharmaceutics: Advancing Drug Development with Enhanced Molecular Understanding and Risk Assessment

    Molecular Pharmaceutics · 2025-08-13

    Abhishek Sharma, Saurabh Shah, Suraj S. Wagh, Giriraj Pandey, Amit Kumar Pradhan, Shalini Shukla, Sajesh P. Thomas, Amol G. Dikundwar, Saurabh Srivastava

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  33. Data-efficient Machine Learning for Polymer Informatics

    Chinese Journal of Polymer Science · 2025-09-02

    Xin-Yao Xu, Xiao Hu, Liquan Wang, Ying Lan Jiang

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  34. Machine learning-driven discovery of multicomponent pharmaceutical solid forms via DualNet: confidence-aware prediction and ranking of salts and cocrystals

    International Journal of Pharmaceutics · 2025-09-02

    Mohammad Amin Ghanavati, Bahareh Khalili, Dino Alberico, Sohrab Rohani

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  35. From traditional screening to machine learning facilitated development of pharmaceutical cocrystals

    Chinese Chemical Letters · 2025-09-11

    Chang Zhang, Chang Zhang, Li Zhang, Dezhi Yang, Henry H.Y. Tong, Yang Lu, Zhengzheng Zhou

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  36. Compound Cocrystal Prediction via Dual-View Learning Framework Under Adversarial Consistency and Complementarity Constraints

    Big Data Mining and Analytics · 2025-09-15

    Haoyang Yu, Haixin Wang, Bei Zhu, Xue-Xin Wei, Bing-Xue Du, Hui Yu, Jian‐Yu Shi

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  37. Interpretable machine learning for solvent prediction and mechanistic insights in multi-component crystal screening

    Chemical Engineering Journal · 2025-10-09

    Qi Zeng, Yiqun Zhang, Yuting Peng, Qun Zeng, Guangxu Sun, Minshan Guo, Ting Cai

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  38. Cocrystal Network-Based Recommendation: A Multi-Objective Random Walk-Based Network Model for Virtual Screening of Drug–Drug Cocrystals

    Journal of Medicinal Chemistry · 2025-10-16

    Wenxiang Song, Juan Wu, Changda Zhou, Shengwen Huang, Baigen She, Guixia Liu, Weihua Li, Guo‐Bin Ren, Bin Zhu, Yun Tang

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  39. Data-Driven Discovery of Polar Organic Cocrystals: Integration of Machine Learning and Automated Screening

    Journal of the American Chemical Society · 2025-10-30

    Huiyu Liu, Muyao Yu, Zikai Xie, Xiangyu Zhang, Yiru Sun, Yuyang Ling, Zezhao Xu, Zidi Wang, Na Yu, Yue‐Biao Zhang, Ping Huai, Qisheng Wang, Xuming He, Linjiang Chen, Weihong Zhu, Shan Hao Jiang

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  40. Screening and validation of Sinomenine hydrochloride deep eutectic solvents ligand based on machine learning algorithm

    Journal of Molecular Liquids · 2025-11-20

    Zehua Ying, Xuting Guo, Chaoliang Jia, Zhiqi Guan, Qingbo Lv, Wenlong Li

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  41. Smart organic cocrystals: Recent advances and perspectives

    Matter · 2025-12-01

    Xinmeng Chen, Jing Li, Siwei Zhang, Lianrui Hu, Yu Wang, Jacky W. Y. Lam, Wenping Hu, Ben Zhong Tang

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  42. Hydrogen bond strength for riparins (I-III) cocrystals with carboxylic acid group coformers: ESP, QTAIM, and NBO analytical screening

    Journal of Molecular Modeling · 2025-12-03

    Tirth Raj Paneru, Poonam Tandon, Bhawani Datt Joshi

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  43. Crystal engineering for poorly water-soluble drugs: From design to applications

    Acta Pharmaceutica Sinica B · 2025-12-06

    An Chen, Yayun Peng, Zhuangzhuang Chen, Yi Lu, Minshan Guo, Ting Cai

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  44. Discovery of energetic ionic cocrystals via high-throughput virtual screening

    Journal of Materials Chemistry A · 2025-12-10

    Ying Wang, Xiurong Yang, Yuan Zhang, Siwei Song, Honglei Xia, Qinghua Zhang

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  45. Quality by Computational Design: Harnessing AI to Advance Rational Drug Development

    Advanced Drug Delivery Reviews · 2025-12-20

    Nannan Wang, Hao Zhong, Ping Xiong, Jinying Zhu, Defang Ouyang

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  46. Graph neural networks for soft sensors: Learning from process topology and operational data

    Computers & Chemical Engineering · 2025-12-24

    Maximilian F. Theisen, Gabrie M.H. Meesters, Artur M. Schweidtmann

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  47. Autonomous Laboratory Planning Agent for Solid-State Form Selection and Polymorph Screening

    Pharmacophore · 2026-01-01

    Rashid Al-Mahdi, Khalifa Al-Suwaidi, Mariam Al-Kuwari

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  48. Choosing Co-Crystal Partners for Plant-Derived Drug Candidates Using Molecular Complementarity, Solid-State Interactions, Solubility Gain, and Developability Constraints

    International Journal of Pharmaceutical and Phytopharmacological Research · 2026-01-01

    George Wilson, Chloe Bennett, Ethan Wright, Jack Turner

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  49. Development and applications of epitaxial heterostructures based on organic nanowires

    Chemical Society Reviews · 2026-01-01

    J. Y. Lu, Y. J. Bao, T. Z. Feng, Q. Lv, Yi Shi, Xuedong Wang

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  50. Statistical integration of knowledge-based, artificial intelligence, and thermodynamic models for rational in silico coformer selection: A case study on an NSAID-skeletal muscle relaxant system

    In Silico Research in Biomedicine · 2026-01-01

    Rupesh A. Saindane, Nilima A. Thombre

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