Results 201 to 210 of about 822 (259)

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach. [PDF]

J Appl Stat
Saldaña Zepeda DP, Heerema R, Velasco Cruz C, Giese W, Sherman J.   +4 more
europepmc   +1 more source

PRMT9 Aggravated Dopaminergic Neurodegeneration in Parkinson's Disease Model by Facilitating the Degradation of DUSP26 and Inducing Mitochondrial Dysfunction

Advanced Science, EarlyView.
In the pathological state of PD induced by MPP+, the upregulated PRMT9 in dopaminergic neurons translocates into mitochondrion and interacts with DUSP26 and catalyzes its arginine methylation, leading to the ubiquitin‐proteasomal degradation of DUSP26 mediated by Trim32.
Tengfei Liu, Xiaomeng Song, Xin Guo, Rui Xiao, Ru Sun, Qiuran Ji, Lu Yu, Yiquan Li, Qingyi Fu, Qidi Xue, Lingjun Kong, Lin Chen, Chengjiang Gao, Huiqing Liu   +13 more
wiley   +1 more source

Targeting DNGR‐1 with Fangchinoline Elevates Dendritic Cell Antigen Cross‐Presentation‐Mediated Antitumor Immunity in Melanoma

Advanced Science, EarlyView.
Fangchinoline is identified as a small‐molecule DNGR‐1 modulator that enhances dendritic‐cell cross‐presentation of tumor antigens. By engaging DNGR‐1 and activating Syk–Nox2 signaling, it promotes phagosomal ROS, antigen escape, MHC‐I presentation, and CD8+ T‐cell priming, thereby strengthening antitumor immunity and sensitizing tumors to PD‐1 ...
Yuan Liao, Zhenyang Ren, Jing Zhou, He Luo, Yuling Li, Dan Chen, Yuxiao Jiang, Canzhe Li, Mengyi Zheng, Anqi Li, Yao Wang, Yang Zhang, Dingye Wang, Yanjun Jiang, Jiangyong Gu, Biaoyan Du, Yafei Shi, Fang Liu, Jianyong Xiao, Kun Wang   +19 more
wiley   +1 more source

Indicative conditionals:Factual or Epistemic?

Studia Logica, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Cantwell, Cantwell John
exaly   +4 more sources

Indicative conditionals

, 2018
This chapter defends a probabilistic semantics for indicative conditionals and other logical operators. This semantics is motivated in part by the observation that indicative conditionals are context sensitive, and that there are contexts in which the probability of a conditional does not match the conditional probability of its consequent given its ...
Sarah Moss
exaly   +3 more sources

Indicative Conditionals

Erkenntnis, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bradley, Richard
openaire   +3 more sources

Indicative conditionals as strict conditionals [PDF]

, 2018
This paper is intended to show that, at least in a considerably wide class of cases, indicative conditionals are adequately formalized as strict conditionals. The first part of the paper outlines three arguments that support the strict conditional view, that is, three reasons for thinking that an indicative conditional is true just in case it is ...
Iacona, Andrea
openaire   +2 more sources

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Uses of Indicative Conditionals

2003
AbstractDiscussion of the uses of indicative conditionals. Reasons for holding that when the antecedent is true, the conditional has the same truth value as the consequent. Conditionals as ‘inference‐tickets’. Non‐interference conditionals: ‘Even if A, still C’. So‐called ‘biscuit conditionals’.
Bennett Jonathan
exaly   +2 more sources