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

Multiple data set Bayesian analysis synergistically boosts ITC parameter precision

多数据集贝叶斯分析协同提升了ITC参数精度

Otten, Lisa; Walker, Douglas R; Barbar, Elisar J; Zuckerman, Daniel M

Reducing weighted ensemble variance with optimal trajectory management

利用最优轨迹管理降低加权集合方差

Ryu, Won Hee; Russo, John D; Johnson, Mats S; Copperman, Jeremy T; Thompson, Jeffrey P; LeBard, David N; Webber, Robert J; Simpson, Gideon; Aristoff, David; Zuckerman, Daniel M

Rectifying AI-generated protein structure ensembles for equilibrium using physics-based computations

利用基于物理的计算方法校正人工智能生成的蛋白质结构集合以达到平衡状态

Otten, Lisa; Leung, Jeremy M; Chong, Lillian T; Zuckerman, Daniel M

Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change

单细胞形态动力学轨迹能够预测伴随细胞状态变化而发生的基因表达。

Copperman, Jeremy; Mclean, Ian C; Gross, Sean M; Singh, Jalim; Murthy, Vaibhav; Chang, Young Hwan; Davies, Alexander E; Zuckerman, Daniel M; Heiser, Laura M

Weighted Ensemble Simulation: Advances in methods, software, and applications

加权集成模拟:方法、软件和应用方面的进展

Chong, Lillian T; Zuckerman, Daniel M

Improving parameter inference by resolving Bayesian prior ambiguity via multi-dataset analysis: Application to isothermal titration calorimetry

通过多数据集分析解决贝叶斯先验歧义,从而改进参数推断:以等温滴定量热法为例

Otten, Lisa; Walker, Douglas R; Barbar, Elisar J; Zuckerman, Daniel M

Bayesian Mechanistic Inference, Statistical Mechanics, and a New Era for Monte Carlo

贝叶斯机制推断、统计力学与蒙特卡罗方法的新时代

Zuckerman, Daniel M; George, August

Morphodynamical cell state description via live-cell imaging trajectory embedding

基于活细胞成像轨迹嵌入的形态动力学细胞状态描述

Copperman, Jeremy; Gross, Sean M; Chang, Young Hwan; Heiser, Laura M; Zuckerman, Daniel M

Quantifying cooperative multisite binding in the hub protein LC8 through Bayesian inference

通过贝叶斯推断量化枢纽蛋白LC8中的协同多位点结合

Estelle, Aidan B; George, August; Barbar, Elisar J; Zuckerman, Daniel M

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

#COVIDisAirborne:利用人工智能技术对呼吸道气溶胶中的 SARS-CoV-2 进行多尺度计算显微镜成像

Dommer, Abigail; Casalino, Lorenzo; Kearns, Fiona; Rosenfeld, Mia; Wauer, Nicholas; Ahn, Surl-Hee; Russo, John; Oliveira, Sofia; Morris, Clare; Bogetti, Anthony; Trifan, Anda; Brace, Alexander; Sztain, Terra; Clyde, Austin; Ma, Heng; Chennubhotla, Chakra; Lee, Hyungro; Turilli, Matteo; Khalid, Syma; Tamayo-Mendoza, Teresa; Welborn, Matthew; Christensen, Anders; Smith, Daniel Ga; Qiao, Zhuoran; Sirumalla, Sai K; O'Connor, Michael; Manby, Frederick; Anandkumar, Anima; Hardy, David; Phillips, James; Stern, Abraham; Romero, Josh; Clark, David; Dorrell, Mitchell; Maiden, Tom; Huang, Lei; McCalpin, John; Woods, Christopher; Gray, Alan; Williams, Matt; Barker, Bryan; Rajapaksha, Harinda; Pitts, Richard; Gibbs, Tom; Stone, John; Zuckerman, Daniel M; Mulholland, Adrian J; Miller, Thomas 3rd; Jha, Shantenu; Ramanathan, Arvind; Chong, Lillian; Amaro, Rommie E