日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

All-PEG-Like Block Copolymers Self-Assemble into Stealth Nanocarriers for Drug Delivery

全聚乙二醇类嵌段共聚物自组装成用于药物递送的隐形纳米载体

Sirohi, Parul; Silverstein, Brooke E; Shmidov, Yulia; Deshpande, Sonal; Tong, Joy; Ma, Yvonne Y; Potnis, Chinmay S; Saha, Soumen; Li, Xinghai; Ney, Max R; Kim, Sarah Y; Milligan, Joshua J; Fan, Lixin; Becker, Matthew L; Reker, Daniel; Chilkoti, Ashutosh

Profiling biological effects of microbiome metabolites via machine learning

利用机器学习分析微生物组代谢物的生物学效应

Chung, Hong A; Fralish, Zachary; Tu, Tiffany; Reker, Daniel

Identification of 4,5,6,7-Tetrabromo-1H-benzotriazole (TBB) as a Small Molecule MESH1 Inhibitor that Suppresses Ferroptosis

鉴定出4,5,6,7-四溴-1H-苯并三唑(TBB)是一种小分子MESH1抑制剂,可抑制铁死亡

Mestre, Alexander A; Oh, Yunju; Wu, Jianli; Dunn, Denise; Setayeshpour, Yasaman; Chen, Ssu-Yu; Lin, Chao-Chieh; Cochrane, C Skyler; Jeong, Pyeonghwa; Nam, Gibeom; Markey, Chloe; Reker, Daniel; Floyd, Scott R; Hong, Jiyong; Zhou, Pei; Chi, Jen-Tsan

TuNa-AI: A Hybrid Kernel Machine To Design Tunable Nanoparticles for Drug Delivery

TuNa-AI:一种用于设计可调控纳米颗粒的混合核机器,用于药物递送

Zhang, Zilu; Xiang, Yan; Laforet, Joe Jr; Spasojevic, Ivan; Fan, Ping; Heffernan, Ava; Eyler, Christine E; Wood, Kris C; Hartman, Zachary C; Reker, Daniel

Data-driven learning of structure augments quantitative prediction of biological responses

基于数据的结构学习增强了对生物反应的定量预测

Ha, Yuanchi; Ma, Helena R; Wu, Feilun; Weiss, Andrea; Duncker, Katherine; Xu, Helen Z; Lu, Jia; Golovsky, Max; Reker, Daniel; You, Lingchong

Finding the most potent compounds using active learning on molecular pairs

利用分子对的主动学习方法寻找最有效的化合物。

Fralish, Zachary; Reker, Daniel

Artificial intelligence for natural product drug discovery

利用人工智能进行天然产物药物发现

Mullowney, Michael W; Duncan, Katherine R; Elsayed, Somayah S; Garg, Neha; van der Hooft, Justin J J; Martin, Nathaniel I; Meijer, David; Terlouw, Barbara R; Biermann, Friederike; Blin, Kai; Durairaj, Janani; Gorostiola González, Marina; Helfrich, Eric J N; Huber, Florian; Leopold-Messer, Stefan; Rajan, Kohulan; de Rond, Tristan; van Santen, Jeffrey A; Sorokina, Maria; Balunas, Marcy J; Beniddir, Mehdi A; van Bergeijk, Doris A; Carroll, Laura M; Clark, Chase M; Clevert, Djork-Arné; Dejong, Chris A; Du, Chao; Ferrinho, Scarlet; Grisoni, Francesca; Hofstetter, Albert; Jespers, Willem; Kalinina, Olga V; Kautsar, Satria A; Kim, Hyunwoo; Leao, Tiago F; Masschelein, Joleen; Rees, Evan R; Reher, Raphael; Reker, Daniel; Schwaller, Philippe; Segler, Marwin; Skinnider, Michael A; Walker, Allison S; Willighagen, Egon L; Zdrazil, Barbara; Ziemert, Nadine; Goss, Rebecca J M; Guyomard, Pierre; Volkamer, Andrea; Gerwick, William H; Kim, Hyun Uk; Müller, Rolf; van Wezel, Gilles P; van Westen, Gerard J P; Hirsch, Anna K H; Linington, Roger G; Robinson, Serina L; Medema, Marnix H

DeepDelta: predicting ADMET improvements of molecular derivatives with deep learning

DeepDelta:利用深度学习预测分子衍生物的 ADMET 改进

Fralish, Zachary; Chen, Ashley; Skaluba, Paul; Reker, Daniel

Angiopoietin-2 is associated with capillary leak and predicts complications after cardiac surgery

血管生成素-2与毛细血管渗漏有关,并可预测心脏手术后的并发症。

Wollborn, Jakob; Zhang, Zilu; Gaa, Julie; Gentner, Moritz; Hausmann, Christian; Saenger, Felix; Weise, Karina; Justice, Samuel; Funk, Jean-Luca; Staehle, Hans Felix; Thomas, Marie; Bruno, Raphael R; Saravi, Babak; Friess, Jan O; Marx, Markus; Buerkle, Hartmut; Trummer, Georg; Muehlschlegel, Jochen D; Reker, Daniel; Goebel, Ulrich; Ulbrich, Felix

Diagnosing capillary leak in critically ill patients: development of an innovative scoring instrument for non-invasive detection

危重患者毛细血管渗漏的诊断:一种用于无创检测的创新评分工具的开发

Wollborn, Jakob; Hassenzahl, Lars O; Reker, Daniel; Staehle, Hans Felix; Omlor, Anne Marie; Baar, Wolfgang; Kaufmann, Kai B; Ulbrich, Felix; Wunder, Christian; Utzolino, Stefan; Buerkle, Hartmut; Kalbhenn, Johannes; Heinrich, Sebastian; Goebel, Ulrich