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

Open-Source DNA-Encoded Library informatics Package for Design, Decoding, and Analysis: DELi

用于设计、解码和分析的开源DNA编码文库信息学软件包:DELi

Wellnitz, James; Novy, Brandon; Maxfield, Travis; Lin, Shu-Hang; Zhilinskaya, Ivanna; Axtman, Matthew; Leisner, Tina; Merten, Eric; Norris-Drouin, Jacqueline L; Hardy, Brian P; Pearce, Kenneth H; Popov, Konstantin I

Expansion of DNA-Encoded Library Hits Using Generative Chemistry and Ultra-Large Compound Catalogs

利用生成化学和超大型化合物目录扩展DNA编码化合物库

Novy, Brandon; Lin, Shu-Hang; Shell, Devan J; Maxfield, Travis; Merten, Eric M; Wellnitz, James; Guduru, Shiva K R; Hardy, P Brian; Pearce, Kenneth H; Popov, Konstantin I

HIt Discovery using docking ENriched by GEnerative Modeling (HIDDEN GEM): A novel computational workflow for accelerated virtual screening of ultra-large chemical libraries

基于生成式建模的分子对接先导化合物发现(HIDDEN GEM):一种用于加速超大型化学库虚拟筛选的新型计算工作流程

Popov, Konstantin I; Wellnitz, James; Maxfield, Travis; Tropsha, Alexander