Results 111 to 120 of about 194,872 (254)

Discriminator‐Guided Inverse Folding for Multi‐Property Protein Design

open access: yesAdvanced Science, EarlyView.
Discriminator‐Guided Inverse Folding (DGIF) integrates multiple property predictors trained from single‐property datasets to guide protein sequence generation from a backbone structure. DGIF enables simultaneous improvement of thermostability and solubility without requiring multi‐property annotated datasets and generates designs that move toward the ...
Yuchuan Zheng   +7 more
wiley   +1 more source

Arginine metabolism in uricotelic species = Metabolismo da arginina em espécies uricotélicas

open access: yesActa Scientiarum: Animal Sciences, 2010
Due to the lack of a complete urea cycle, uricotelic species, such as broilers, are not able to synthesize de novo arginine (Arg), thus depending exclusively on dietary Arg.
Jovanir Inês Müller Fernandes   +1 more
doaj  

CCL3 and IL‐7 Synergistically Enhance CAR‐T Efficacy in Solid Tumors

open access: yesAdvanced Science, EarlyView.
Synergistic delivery of CCL3 and IL‐7 by CAR‐T cells overcomes the immunosuppressive tumor microenvironment by enhancing cell infiltration, survival, and local immune reprogramming. This also establishes positive feedback that amplifies anti‐tumor activity and memory responses in both CAR‐T and endogenous T cells, presenting a robust therapeutic ...
Huanpeng Chen   +12 more
wiley   +1 more source

Arge similis

open access: yes
Arge similis (Vollenhoven, 1860) Notes Kim (1971), Lee and Kwon (1981), ME (1993), Kwon et al. (1996), Lee and Jung (2001), HNIBR (2022)
Lee, Dong-Yeol   +12 more
openaire   +2 more sources

Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design

open access: yesAdvanced Science, EarlyView.
This study reveals how surfactant‐driven interfacial design governs the assembly and stability of protein@MOF composites. Using lipid‐based nonionic surfactants, we modulate protein–MOF interactions to improve encapsulation efficiency, MOF crystallization, and catalytic performance.
Ehsan Rashidniyaghi   +4 more
wiley   +1 more source

Arge ciliaris

open access: yes, 2007
Published as part of Schedl, Wolfgang, 2019, Beitrag zur Symphyta-Fauna des Naturparks Villacher Alpe (Dobratsch) im Kärntner Gailtal (Insecta, Hymenoptera), pp.
openaire   +3 more sources

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

open access: yesAdvanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee   +9 more
wiley   +1 more source

Synergistic HMGN1 and VP64 Fusions Potentiate High‐Precision and PAM‐Flexible Base Editing

open access: yesAdvanced Science, EarlyView.
A novel CDA1Δ‐SpRY architecture fused with HMGN1 and VP64 yields a nearly PAM‐less base editing platform. By focusing cytosine conversion predominantly at position −18, this synergistic complex ensures highly precise targeting. Demonstrating enhanced efficiency across diverse models, including yeast and rice, the platform offers a robust solution for ...
Xi Luo   +11 more
wiley   +1 more source

Arge jonasi

open access: yes
Published as part of Lee, Dong-Yeol, Jeong, Ilyeong, Kim, Seonmin, Choi, Jae Won, Won, Min Hyeok, Kim, Donguk, Kim, Dongmin, Kim, Young-Kun, Jeon, Jiseung, Ryu, Jihun, Bang, WooJun, Chang, Jun Hyuk & Choi, Kwang Shik, 2024, Checklist for the insect fauna of two East Sea Islands (Ulleungdo Is. and Dokdo Is.) in the Republic of Korea, pp.
Lee, Dong-Yeol   +12 more
openaire   +2 more sources

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

open access: yesAdvanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang   +11 more
wiley   +1 more source

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