Automating drug discovery

Cited by (920)

Items 501–600 of 920

1. A modular low-cost automated synthesis machine demonstrated by ring-opening metathesis polymerization
   Jakob Rørbæk Saugbjerg, Thorbjørn Bøgh Jensen, Mogens Hinge, Martin Lahn Henriksen · 2023 · Reaction Chemistry & Engineering
2. MolCAP: Molecular Chemical reActivity Pretraining and prompted-finetuning enhanced molecular representation learning
   Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei · 2023 · Computers in Biology and Medicine
3. Reaping the benefits of liquid handlers for high-throughput gene expression profiling in a marine model invertebrate
   Giovanni Annona, Assunta Liberti, Carla Pollastro, Antonietta Spagnuolo, Paolo Sordino, Pasquale De Luca · 2024 · BMC Biotechnology
4. Strategic partnerships for AI-driven drug discovery: The role of relational dynamics
   Stefan Kint, Wilfred A. Dolfsma, Daniela Robinson · 2024 · Drug Discovery Today
5. Classification of drug molecules for oxidative stress signalling pathway
   Nikhil Verma, Harpreet Singh, Divya Khanna, Prashant Singh Rana, Sanjay Kumar Bhadada · 2019 · IET Systems Biology
6. Shortcuts to schistosomiasis drug discovery: The state-of-the-art
   José Teófilo Moreira‐Filho, Rafael Ferreira Dantas, Mário Roberto Senger, Arthur C. Silva, Dulcinéa Maria Barbosa Campos, Eugene N. Muratov, Floriano Paes Silva, Carolina Horta Andrade, Bruno J. Neves · 2019 · Annual reports in medicinal chemistry
7. Big Data in Drug Discovery
   Sanjay Bhattarai, Rajnish Kumar, Sagorika Nag, Vigneshwaran Namasivayam · 2022 · Springer eBooks
8. Structural insights into the discrepant synergistic activity of Codlemone and (Z)‐8‐dodecenol towards Grapholita molesta pheromones
   Jiyuan Liu, Tong Zhou, Ruichi Li, Zhen Tian · 2022 · Pest Management Science
9. Motive perception pathways to the release of personal information to healthcare organizations
   Michaela Soellner, Joerg Koenigstorfer · 2022 · BMC Medical Informatics and Decision Making
10. Microfluidic Chip
    Xueen Fang · 2021 · Springer eBooks
11. Shape-restrained modelling of protein-small molecule complexes with HADDOCK
    Panagiotis I. Koukos, Manon F. Réau, Alexandre M. J. J. Bonvin · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
12. A Unified System for Molecular Property Predictions: Oloren ChemEngine and its Applications
    David Z Huang, Sauhaarda Chowdhuri, Andrew C. Li, Alex Li, Ayush Agrawal, Kameron Gano, Andy Zhu · 2022 · ChemRxiv
13. E-GuARD: expert-guided augmentation for the robust detection of compounds interfering with biological assays
    Palmacci, Vincenzo, Nahal, Yasmine, Welsch, Matthias, Engkvist, Ola, Kaski, Samuel, Kirchmair, Johannes · 2025 · Journal of Cheminformatics
14. A systematic and comprehensive review of the properties and synthesis of anticancer heterocyclic natural products
    Tirth Chauhan, Manan Shah · 2025 · Current Pharmaceutical Analysis
15. Automated experimentation for evaluating cement dispersant performance
    Jae Hong Kim, In Kuk Kang, Tae Yong Shin, Chankyu Park · 2025 · Cement and Concrete Research
16. AI-Driven molecule generation and bioactivity prediction: A multi-model approach combining VAE, graph and language-based neural networks
    Latefa Oulladji, Mouna Saadallah, Zakaria Guellil, Houda Abbad, Houda Bekhti · 2025 · Computational Biology and Chemistry
17. Green approach to the synthesis of 3,4-dihydropyrimidinone with zirconyl oxychloride as catalyst: In vitro antidiabetic evaluation, molecular dynamic simulation, density functional theory and toxicity assessment
    Periyasamy Monisha, Singamoorthy Amalraj, S. Prabhu, Kittappa Gunasundari, Manickam Pramesh, Muniappan Ayyanar · 2025 · Bioorganic Chemistry
18. V-SYNTHES2—the next generation tool for structure-based virtual screening of giga-scale chemical spaces
    Antonina L. Nazarova, Anastasiia Sadybekov, Arman A. Sadybekov, Mykola Protopopov, Dmytro S. Radchenko, Yurii S. Moroz, Olga O. Tarkhanova, Vsevolod Katritch · 2026 · npj Drug Discovery.
19. Implementation of a data science and artificial intelligence strategy across pharmaceutical R&D: challenges and solutions
    Vincenzo Garzya, Gabriella Rustici, Tom Diethe, Peder Blomgren, Nina Mian, Jamie I. MacPherson, Henry Constable, Rebecca J Port, James Weatherall · 2025 · Drug Discovery Today
20. Programmable Light-Driven Color Tuning of Perovskite Quantum Dots
    Pragyan Jha, Nikolai Mukhin, Jinge Xu, Christopher H.J. Moran, Arup Ghorai, Felix N. Castellano, Milad Abolhasani · 2025 · ACS Central Science
21. In silico Drug Discovery: Bridging the Gaps in Preclinical Translation
    Sarine Markossian, Hannah M. Baskir, A Grossman, Suchismita Chandran, Shyam S. Rele, Matthew D. Hall, Rommie E. Amaro, Alexander Tropsha, Alexey V. Zakharov · 2025 · Drug Discovery Today
22. High-Throughput Electrochemistry Using Scanning Electrochemical Cells
    Joanna Magdalena Przybysz, Ken J. Jenewein, Serhiy Cherevko · 2026 · ACS electrochemistry.
23. Physics-inspired explainable AI for mechanistic and decision support in drug discovery
    Antonio Lavecchia · 2026 · Drug Discovery Today
24. Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick
    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen · 2019 · Angewandte Chemie
25. Computational Prediction of Drug Phenotypic Effects Based on Substructure-Phenotype Associations
    Jingbo Yang, Denan Zhang, Yiyang Cai, Kexin Yu, Mingming Li, Lei Liu, Xiujie Chen · 2022 · IEEE Transactions on Computational Biology and Bioinformatics
26. Artificial Intelligence in Drug Discovery and Delivery: Advancements and Applications
    Mohammad Ali Mahjoub, Zahra Sheikholislam · 2023 · Journal of Biomedical Research & Environmental Sciences
27. A Semi‐Automated, High‐Throughput Approach for the Synthesis and Identification of Highly Photo‐Cytotoxic Iridium Complexes
    Timothy Kench, Arielle Rahardjo, Gianmarco Terrones, B. Adinarayana, Thomas E. Maher, Marko Storch, Heather J. Kulik, Ramón Vilar · 2024 · Angewandte Chemie
28. An Automated Robotic Interface for Assays: Facilitating Machine Learning in Drug Discovery by the Automation of Physicochemical Property Assays
    Newton Wu, Wenyi Wang, Dhireshan Gadiagellan, Mike Counsell, Nikkia K. Hamidi, Yuko Koike, Huy Quoc Nguyen · 2024 · ACS Omega
29. Molecular tweaking by generative cheminformatics and ligand–protein structures for rational drug discovery
    Ashwini Kumar Nangia · 2024 · Bioorganic Chemistry
30. Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management
    Enea Svaluto‐Ferro, Graham Kimbell, YeonJu Kim, Nukorn Plainpan, Benjamin Kunz, Lina Scholz, Raphael Läubli, Maximilian Becker, David Reber, Peter Kraus et al. · 2025 · Batteries & Supercaps
31. Optimizing Antiviral Stockpiles for Pandemic Response: A Strategic Framework
    Rick A. Bright · 2025 · The Journal of Infectious Diseases
32. Web-based Tools for Drug Repurposing: Successful Examples of Collaborative Research
    Quentin Vanhaelen · 2020 · Current Medicinal Chemistry
33. An Ultrahigh Sensitive Microwave Microfluidic System for Fast and Continuous Measurements of Liquid Solution Concentrations
    Piotr M. Słobodzian, Krzysztof Szostak, Katarzyna Skowronek, Laura Jasińska, Karol Malecha · 2021 · Sensors
34. Bubble generation and growth mechanism in PMMA microfluidic chip
    Lianchao Jia, Zhiyong Li, Qingquan Wei · 2022 · AIP Advances
35. Tricyclic Aza-Andrographolide Derivatives from Late-Stage Hydroamination and Their Anti-human Coronavirus (Anti-HCoV) Activity
    Chao Che, Ding Jiang, Jiayin Zhang, Qi Xing, Ting Li, Yi Zhao, Liangyu Guan, Huangcan Chen, Dehu Xiang, Man Di et al. · 2022 · ACS Omega
36. Automated Characterization of Macroscale Tissue 3D Spatial Material Properties via Robotically-Directed Impedimetric Sensing
    Ezgi Küçükdeğer, Yujing Zhang, Junru Zhang, Yang Liu, Xiaoting Jia, Blake N. Johnson · 2023 · IEEE Transactions on Automation Science and Engineering
37. Recovering Actives in Multi-Antitarget and Target Design of Analogs of the Myosin II Inhibitor Blebbistatin
    Bart I. Roman, Rita Cardoso Guedes, Christian V. Stevens, Alfonso T. García‐Sosa · 2018 · Frontiers in Chemistry
38. Ligand Design for Modulation of RXR Functions
    Claudio Martínez, José A. Souto, Ángel R. de Lera · 2019 · Methods in molecular biology
39. The Evolving Role of Structural Biology in Drug Discovery
    Jean‐Paul Renaud · 2020 · Wiley eBooks
40. Flexible open-source automation for robotic bioengineering
    Emma J. Chory, Dana Gretton, Erika Alden DeBenedictis, Kevin M. Esvelt · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
41. Artificial intelligence in drug discovery: Current applications and future directions
    Ahmad Asri Awad Alanazi, ‏Abdulrahman Ibrahim Abdullah Al Fahad, Abdullah Saleh Abdullah Almorshed, Abdullah Abdulrahman Mohammed Alrbian, Ahmed Abdulkarim Sulaiman Alnughaymishi, Nawal Haif Bajad Al-Mutairi, Abdulrahman Amer Alajmi, Sanytan Ghazy Al Otaibi · 2022 · International Journal of Health Sciences
42. Prediction and Prioritisation of Novel Anthelmintic Candidates from Public Databases Using Deep Learning and Available Bioactivity Data Sets
    Aya C. Taki, Louis Kapp, Ross S. Hall, Joseph J. Byrne, Brad E. Sleebs, Bill C. H. Chang, Robin B. Gasser, Andreas Hofmann · 2025 · International Journal of Molecular Sciences
43. From Molecules to Medicine: Molecular Dynamics and Docking in Breast Cancer Therapeutics
    Reza Bozorgpour · 2025 · Clinical Breast Cancer
44. MSIDiff:Multi-stage interaction-aware diffusion model for protein-specific 3D molecule generation
    Yaoxiang Zhang, Junteng Ma, Ze Zhang, Zhaoyang Dong, Shuang Wang · 2025 · Expert Systems with Applications
45. DiffMeta-RL: Reinforcement Learning-Guided Graph Diffusion for Metabolically Stable Molecular Generation
    D. Liu, Tao Song, Shuang Wang, Xue Li, Peifu Han, Gehang Ju, Jianmin Wang, Shudong Wang · 2025 · Journal of Chemical Information and Modeling
46. AI-Driven Drug Formulation Development: Transforming the Future of Pharmaceutical Drug Development from Discovery to Regulatory Aspects
    Ali Sartaj, Anjali Rajora, Juveria Usmani, Sweeti Bana, Annu, Javed Ali · 2025 · Journal of Pharmaceutical Innovation
47. Toward full automation in synthetic biology: A progressive conceptual framework integrating robotics and intelligent agents
    Mirco Plante, Antoine Champie, François Michaud, Sébastien Rodrigue · 2025 · SLAS TECHNOLOGY
48. Artificial Intelligence Across the Drug Development Lifecycle
    Grigory A. Demyashkin, Паршенков Михаил Алексеевич, Sergey Zyryanov, Alexander Yavorskiy, Peter Shegai, Andrey Kaprin · 2026 · Medical Sciences
49. The role of pharmaceutical formulation development in clinical trials of new medicinal products
    Barbara Owczarek, Magdalena Markowicz-Piasecka · 2026 · European Journal of Pharmaceutics and Biopharmaceutics
50. Early-stage drug discovery in a new-generation ultrahigh-throughput mass spectrometry platform
    Nicolás M. Morato, Yunfei Feng, Kitmin Chen, Kai‐Hung Huang, Alexis Owen, Joseph V. Caruso, Beinan Yang, Samadhi C. Kulathunga, Andrew D. Mesecar, Carleen A. Klumpp-Thomas et al. · 2026 · Proceedings of the National Academy of Sciences
51. Natural Products in Modern Drug Discovery: Advances, Challenges and Emerging Technologies
    Sousana Κ. Papadopoulou, Efthymios Poulios, Fotios N. Tsopelas, Anna Tsantili‐Kakoulidou, Constantinos Giaginis · 2026 · Scientia Pharmaceutica
52. A Note on Robotics and Artificial Intelligence in Pharmacy
    Sankha Bhattacharya · 2021 · Applied Drug Research Clinical Trials and Regulatory Affairs
53. Pyrazolo-Pyrimidinones with Improved Solubility and Selective Inhibition of Adenylyl Cyclase Type 1 Activity for Treatment of Inflammatory Pain
    Annadka Shrinidhi, Tiffany S. Dwyer, Jason A. Scott, Val J. Watts, Daniel Patrick Flaherty · 2024 · Journal of Medicinal Chemistry
54. A Comprehensive Review on Integrated Approach for Discovery and Development of Novel Bioactive Compounds: From Natural Resources to Targeted Therapeutics
    Modi Kiran Piyushbhai, Prakhar Sharma, Rabika Ramalingam, Ambika Binesh, Kaliyamurthi Venkatachalam · 2024 · Current Bioactive Compounds
55. GFLearn: Generalized Feature Learning for Drug-Target Binding Affinity Prediction
    Zibo Huang, Xinrui Weng, Le Ou-Yang · 2025 · IEEE Journal of Biomedical and Health Informatics
56. Transport physics‐informed reinforcement learning agents deployed in standalone infusion pumps for managing multidrug delivery in critical care
    Vineeth Chandran Suja, Andrea Lorenzo Henri Sergio Detry, Nathaniel M. Sims, David E. Arney, Samir Mitragotri, Robert A. Peterfreund · 2025 · Bioengineering & Translational Medicine
57. Computer‐Assisted Selective Optimization of Side‐Activities—from Cinalukast to a PPARα Modulator
    Julius Carl Pollinger, Simone Schierle, Sebastian Neumann, Julia Ohrndorf, Astrid Kaiser, Daniel Merk · 2019 · ChemMedChem
58. Using Entity Metrics to Understand Drug Repurposing.
    Xin Li, Ying Ding, Wei Ping Lu · 2020 · PubMed Central
59. A triple-targeting delivery system carrying two anticancer agents
    Hui Li, Changhee Lee, Injae Shin · 2021 · Organic & Biomolecular Chemistry
60. Mechanics of biosurfactant aided liquid phase exfoliation of 2D materials
    Xuliang Qian, Matteo Andrea Lucherelli, Céline Corcelle, Alberto Bianco, Huajian Gao · 2022 · Forces in Mechanics
61. Arbitrary Ca2+ regulation for endothelial nitric oxide, NFAT and NF-κB activities by an optogenetic approach
    Tomoyasu Yamanaka, Takatoshi Ueki, Mitsuhito Mase, Kōichi Inoue · 2023 · Frontiers in Pharmacology
62. Pharmacophore-based ML model to filter candidate E3 ligands and predict E3 Ligase binding probabilities
    Reagon Karki, Yojana Gadiya, Simran Shetty, Philip M. Gribbon, Andrea Zaliani · 2023 · Informatics in Medicine Unlocked
63. New Methods for Predicting Drug Molecule Activity Using Deep Learning
    Jessi J. White · 2024 · Bioscience Methods
64. Evaluating the Impact of AI and ML on Modern Drug Discovery
    N. V. V. S.Vinayak Lingolu, Deena Kumari M, Pavan Kumar VLSS · 2024 · Journal of Pharma Insights and Research.
65. The efficiency of high-throughput screening (HTS) and in-silico data analysis during medical emergencies: Identification of effective antiviral 3CLpro inhibitors
    Debora Zian, Daniela Iaconis, S. Nenci, Alessandra Crusco, Sanjeevani Tawde, Mariangela Sodano, Rocco Vitalone, Ameya Raje, Martina Palamini, Daniele Carettoni et al. · 2025 · Antiviral Research
66. A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery
    Ali Abdelkrim, Abdelkrim Bouramoul, Imène Zenbout · 2022 · International Journal of Organizational and Collective Intelligence
67. Small-Molecule Drug Discovery: Processes, Perspectives, Candidate Selection, and Career Opportunities for Analytical Chemists
    Michael W. Dong · 2022 · LCGC North America
68. Adaptive Mining and Model Building of Medicinal Chemistry Data with a Multi-Metric Perspective
    J.B. Brown · 2018 · Future Medicinal Chemistry
69. Using Single Protein/Ligand Binding Models to Predict Active Ligands for Unseen Proteins
    Vikram Sundar, Lucy J. Colwell · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
70. Integrated Systems for Continuous Synthesis and Biological Screenings
    Antimo Gioiello, Giada Moroni, Bruno Cerra · 2022 · Methods and principles in medicinal chemistry
71. Commentary: Unexpected Novel Chemical Weapon Agents Designed by Innocuous Drug-Development AI (Artificial Intelligence) Algorithm
    Robert B. Raffa, Joseph V. Pergolizzi, Thomas Miller, Daniel Motto · 2022 · Pharmacology & Pharmacy
72. A semi-automated, high-throughput approach for the synthesis and identification of highly photo-cytotoxic iridium complexes
    Ramón Vilar, Timothy Kench, Arielle Rahardjo, B. Adinarayana, Thomas E. Maher, Marko Storch · 2023 · ChemRxiv
73. Qptuna: an automated QSAR modelling platform for molecular property prediction in drug design
    Lewis Mervin, Alexey Voronov, Mikhail Kabeshov, Ola Engkvist · 2024 · ChemRxiv
74. The Integration of Artificial Intelligence in Drug Discovery and Development : Novel Approach
    Ankit Ujjwal · 2024 · International Journal of Scientific Research in Science and Technology
75. Improving the Hit Rates of Virtual Screening by Active Learning from Bioactivity Feedback
    Xun Deng, Junlong Liu, Zhike Liu, Jiansheng Wu, Fuli Feng, Jieping Ye, Zheng Wang · 2025 · Journal of Chemical Theory and Computation
76. TRANSFORMATIVE APPLICATIONS OF AI IN HEALTHCARE AND PHARMACEUTICAL INNOVATION
    P. JASMINE, ARWA IBRAHIM, Shafnas Siddiq, A. DHANURSHRA, M. NIRMALA, S. SHAKIR BASHA · 2025 · International Journal of Applied Pharmaceutics
77. Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends
    Olanrewaju Ayodeji Durojaye, Sm Faysal Bellah, Henrietta Onyinye Uzoeto, Nkwachukwu Oziamara Okoro, Samuel Cosmas, Judith Nnedimkpa Ajima, Amarachukwu Vivian Arazu, Somtochukwu Precious Ezechukwu, Chiemekam Samuel Ezechukwu, Arome Solomon Odiba · 2025 · Journal of Molecular Modeling
78. Cell‐embedded microgels as emerging miniature 3D tissue‐mimics toward biochip‐based toxicity screening
    Margaux Delafosse, Estelle Regnault, Jasmin Gebauer‐Barrett, A. Manz, Baeckkyoung Sung · 2025 · Bioengineering & Translational Medicine
79. Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
    D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley · 2026 · Advanced Science
80. When microfluidics meets pharmaceutical analysis
    Yongjian Ai, Lili Li, Ruoxiao Xie, Pengjie Wang, Huiyuan Guo, Fazheng Ren, Mengqi He, Qionglin Liang · 2025 · TrAC Trends in Analytical Chemistry
81. Advances in magnetic-assisted microfluidic mixing and separation in chemical and biomedical fields
    Shijiao Li, Wei Peng, Mingfu Zhu, Yilin Hao, Ming Zhai, Yifan Hu, Jingjiang Qiu, Yudong Zhang, Ronghan Wei · 2025 · Microchemical Journal
82. ADMET Prediction Based on Artificial Intelligence
    Mingyue Zheng, Xutong Li · 2025 · Springer eBooks
83. The predictive edge: modeling and simulation in drug product development
    Sanjay Konagurthu, Dineli T. S. Ranathunga, Stephanie Buchanan, Nairuti Milan Mehta, Tom Reynolds · 2026 · Advanced Drug Delivery Reviews
84. Translational readthrough using TRIDs - Achievements and challenges for the treatment of inherited retinal disorders
    Kerstin Nagel‐Wolfrum, Nicole Wenck, Mark Zorin · 2026 · Molecular Aspects of Medicine
85. Task-specific pre-training for molecular property prediction
    Wenbo Zhang, Yihui Wang, Jin Liu, Bowen Ke, Jiancheng Lv, Xianggen Liu · 2026 · Briefings in Bioinformatics
86. Integrating Medicinal Chemist Expertise with Deep Learning for Automated Molecular Optimization
    Li Liang, Xinyi Yang, Boheng Wan, Lingxi Gu, Yan Yang, Wuchen Xie, Xiaowen Dai, Yuan Xu, Xian Wei, Haichun Liu et al. · 2026 · Journal of Medicinal Chemistry
87. Active learning in pharmaceutical 3D printing: a multi-dataset comparison
    Moe Elbadawi, Noorul Fathima Abdul Kafoor, Hanxiang Li, Chrystalla Protopapa, Marilena Vlachou, Simon Gaisford · 2026 · Drug Delivery and Translational Research
88. Toward accurate predictions of bond-selective fluorescence spectra
    Philip A. Kocheril, Ryan Leighton, Noor Naji, Dongkwan Lee, Haomin Wang, Jiajun Du, Lu Wei · 2026 · The Journal of Chemical Physics
89. CheMLT-F: multitask learning in biochemistry through transformer fusion
    Vladislav Mun, Siamac Fazli · 2026 · Journal of Cheminformatics
90. Target discovery and drug design in the era of artificial intelligence
    Payton Fleming, Andrey A. Ivanov · 2026 · Medicinal Chemistry Research
91. Machine learning-driven discovery of marine-derived LasR inhibitors on Pseudomonas aeruginosa to combat antimicrobial resistance
    Stalin Arulsamy, Praveen Jambulingam Mani, Sivakumar Ravi, Thulasidass Govindasamy, Thiruppanesh Selvam, Mohankumar Ramar, Logesh Rajan, Suresh Kumar Krishnan, Gayathri Rajaram, Kiruthiga Natarajan et al. · 2026 · Journal of the Indian Chemical Society
92. Quantum computing applications in drug discovery
    Jing Li, Leyi Wei, Henry H Y Tong, Quan Zou · 2026 · Briefings in Bioinformatics
93. Machine Learning-Driven QSAR Modeling of FXIa Inhibitors for Virtual Screening and Rational Drug Design
    Ali Onur Kaya, Mert Can Emre, Nesrin Emre · 2026 · Pharmaceuticals
94. Machine-Learning-Driven Molecular Design and Structure–Property–Performance Relationships in Pharmaceutical Chemistry
    Aisulu Zh. Kabdraisova, Almagul K. Umbetova, Gulfairuz Kairalapova, Yu. A. Litvinenko, Larissa R. Sassykova, Nazym S. Yelibayeva, G. Sh. Burasheva, Alya E. Berganayeva, Zhanibek S. Assylkhanov, Meruyert D. Dauletova et al. · 2026 · Molecules
95. Recent advances in intraoral, buccal and sublingual drug delivery systems and technologies
    Chrystalla Protopapa, Marilena Vlachou, Nicholas A. Peppas · 2026 · Journal of Controlled Release
96. Steady‐State and Dynamic Behavior of Geometry‐Tunable Microfluidic Passive Flow Regulators
    Huy Hoang Vu, Tran Vy Khanh Vo, Hafiz Muhammad Musharaf, Haotian Cha, Nam‐Trung Nguyen · 2026 · Small
97. Machine Learning for RNA-Targeting Drug Design
    Wissam Karroucha, Carlos Oliver, Véronique Stoven, Vincent Mallet · 2026 · Journal of Chemical Information and Modeling
98. A unified framework and benchmark for generalizable biomedical knowledge extraction and applications with large language models
    Wuyang Lan, Siqi Zhang, Wenzheng Wang, Ke Hu, Tianrun Gao, Lei Shi, Zongbo Han, Yanjun Chen, Hao Zhang, Song Wu et al. · 2026 · Cell Reports Medicine
99. Incorporation of C(sp3)-Rich Benzene Bioisosteres via Iron-Catalyzed Photoelectrochemical Decarboxylative C−H Functionalization
    Sven Trienes, Eva M. Glorius, Max Surke, Felix Gerlich, Regine Herbst‐Irmer, Lutz Ackermann · 2026 · ACS Catalysis
100. Targeting Fungal Adaptive Networks and Emerging Molecular Targets for Next-Generation Antifungal Therapeutics
     Conrad Chibunna Achilonu · 2026 · Drugs and Drug Candidates