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

AI-driven discovery of synergistic drug combinations against pancreatic cancer.

利用人工智能发现对抗胰腺癌的协同药物组合

Pourmousa Mohsen, Jain Sankalp, Barnaeva Elena, Jin Wengong, Hochuli Joshua, Itkin Zina, Maxfield Travis, Melo-Filho Cleber, Thieme Andrew, Wilson Kelli, Klumpp-Thomas Carleen, Michael Sam, Southall Noel, Jaakkola Tommi, Muratov Eugene N, Barzilay Regina, Tropsha Alexander, Ferrer Marc, Zakharov Alexey V

One size does not fit all: revising traditional paradigms for assessing accuracy of QSAR models used for virtual screening

一种方法并不适用于所有情况:修正用于虚拟筛选的QSAR模型准确性评估传统范式

Wellnitz, James; Jain, Sankalp; Hochuli, Joshua E; Maxfield, Travis; Muratov, Eugene N; Tropsha, Alexander; Zakharov, Alexey V

Chemical arsenal for helicase Hunters: Striking the toughest targets in antiviral research

用于解旋酶猎杀的化学武器库:打击抗病毒研究中最棘手的目标

Martin, Holli-Joi; Hossain, Mohammad Anwar; Wellnitz, James; Kelestemur, Enes; Hochuli, Joshua E; Perveen, Sumera; Arrowsmith, Cheryl; Willson, Timothy M; Muratov, Eugene N; Tropsha, Alexander

Cheminformatics-Guided Cell-Free Exploration of Peptide Natural Products

化学信息学指导的无细胞肽天然产物探索

Pelton, Jarrett M; Hochuli, Joshua E; Sadecki, Patric W; Katoh, Takayuki; Suga, Hiroaki; Hicks, Leslie M; Muratov, Eugene N; Tropsha, Alexander; Bowers, Albert A

Accurate Inference of Tree Topologies from Multiple Sequence Alignments Using Deep Learning

利用深度学习从多序列比对中精确推断系统发育树拓扑结构

Suvorov, Anton; Hochuli, Joshua; Schrider, Daniel R

Visualizing convolutional neural network protein-ligand scoring

可视化卷积神经网络蛋白质-配体评分

Hochuli, Joshua; Helbling, Alec; Skaist, Tamar; Ragoza, Matthew; Koes, David Ryan