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

Counting cells can accurately predict small-molecule bioactivity benchmarks

细胞计数可以准确预测小分子生物活性指标

Seal, Srijit; Dee, William; Shah, Adit; Cerisier, Natacha; Zhang, Andrew; Miglietta, Esteban; Titterton, Katherine; Cabrera, Ángel Alexander; Boiko, Daniil; Beatson, Alex; Slabaugh, Gregory; Taboureau, Olivier; Carreras Puigvert, Jordi; Singh, Shantanu; Spjuth, Ola; Bender, Andreas; Carpenter, Anne E

Cell Painting: a decade of discovery and innovation in cellular imaging

细胞成像:细胞成像领域十年来的发现与创新

Seal, Srijit; Trapotsi, Maria-Anna; Spjuth, Ola; Singh, Shantanu; Carreras-Puigvert, Jordi; Greene, Nigel; Bender, Andreas; Carpenter, Anne E

Associations of PFAS and OH-PCBs with risk of multiple sclerosis onset and disability worsening

PFAS和OH-PCBs与多发性硬化症发病风险和残疾恶化之间的关联

Vaivade, Aina; Erngren, Ida; Carlsson, Henrik; Freyhult, Eva; Emami Khoonsari, Payam; Noui, Yassine; Al-Grety, Asma; Åkerfeldt, Torbjörn; Spjuth, Ola; Gallo, Valentina; Larsson, Anders Olof; Kockum, Ingrid; Hedström, Anna Karin; Alfredsson, Lars; Olsson, Tomas; Burman, Joachim; Kultima, Kim

Precise mapping of single-stranded DNA breaks by sequence-templated erroneous DNA polymerase end-labelling.

利用序列模板错误DNA聚合酶末端标记法精确定位单链DNA断裂

Wenson Leonie, Heldin Johan, Martin Marcel, Erbilgin Yücel, Salman Barış, Sundqvist Anders, Schaal Wesley, Sandbaumhüter Friederike A, Jansson Erik T, Chen Xingqi, Davidsson Anton, Stenerlöw Bo, Espinoza Jaime A, Lindström Mikael, Lennartsson Johan, Spjuth Ola, Söderberg Ola

Conformal prediction enables disease course prediction and allows individualized diagnostic uncertainty in multiple sclerosis

保角预测能够预测疾病进程,并允许对多发性硬化症的诊断不确定性进行个体化评估。

Sreenivasan, Akshai Parakkal; Vaivade, Aina; Noui, Yassine; Khoonsari, Payam Emami; Burman, Joachim; Spjuth, Ola; Kultima, Kim

PKSmart: an open-source computational model to predict intravenous pharmacokinetics of small molecules

PKSmart:一种用于预测小分子静脉注射药代动力学的开源计算模型

Seal, Srijit; Trapotsi, Maria-Anna; Mahale, Manas; Subramanian, Vigneshwari; Greene, Nigel; Spjuth, Ola; Bender, Andreas

Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World

利用化学结构进行毒性预测的机器学习:现实世界成功的基石

Seal, Srijit; Mahale, Manas; García-Ortegón, Miguel; Joshi, Chaitanya K; Hosseini-Gerami, Layla; Beatson, Alex; Greenig, Matthew; Shekhar, Mrinal; Patra, Arijit; Weis, Caroline; Mehrjou, Arash; Badré, Adrien; Paisley, Brianna; Lowe, Rhiannon; Singh, Shantanu; Shah, Falgun; Johannesson, Bjarki; Williams, Dominic; Rouquie, David; Clevert, Djork-Arné; Schwab, Patrick; Richmond, Nicola; Nicolaou, Christos A; Gonzalez, Raymond J; Naven, Russell; Schramm, Carolin; Vidler, Lewis R; Mansouri, Kamel; Walters, W Patrick; Wilk, Deidre Dalmas; Spjuth, Ola; Carpenter, Anne E; Bender, Andreas

CPSign: conformal prediction for cheminformatics modeling

CPSign:用于化学信息学建模的保角预测

Arvidsson McShane, Staffan; Norinder, Ulf; Alvarsson, Jonathan; Ahlberg, Ernst; Carlsson, Lars; Spjuth, Ola

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank

基于生物学和化学数据的药物心脏毒性研究:FDA药物诱导心脏毒性等级的首个公开分类器

Seal, Srijit; Spjuth, Ola; Hosseini-Gerami, Layla; García-Ortegón, Miguel; Singh, Shantanu; Bender, Andreas; Carpenter, Anne E

Corrigendum: Development of new approach methods for the identification and characterization of endocrine metabolic disruptors-a PARC project

更正:开发用于识别和表征内分泌代谢干扰物的新方法——PARC项目

Braeuning, Albert; Balaguer, Patrick; Bourguet, William; Carreras-Puigvert, Jordi; Feiertag, Katreece; Kamstra, Jorke H; Knapen, Dries; Lichtenstein, Dajana; Marx-Stoelting, Philip; Rietdijk, Jonne; Schubert, Kristin; Spjuth, Ola; Stinckens, Evelyn; Thedieck, Kathrin; van den Boom, Rik; Vergauwen, Lucia; von Bergen, Martin; Wewer, Neele; Zalko, Daniel