Results 171 to 180 of about 586,855 (294)

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

Enfermedades desmielinizantes P1 (Pósteres)

open access: yesNeurology Perspectives, 2023
doaj   +1 more source

Chemotaxis kinase CheA is regulated by modulating interdomain interactions. [PDF]

open access: yesBiophys J
Lu-Diaz KW   +4 more
europepmc   +1 more source

Efficient Concentration and Complete Destruction of Short‐Chain and Emerging PFAS in Contaminated Water via Integrated Interface Engineering‐Enhanced Carbon Felt Sorption and Photochemical Processes

open access: yesAdvanced Science, EarlyView.
A closed‐loop “Concentrate‐Destroy” strategy is presented for completely eliminating short‐chain and emerging PFAS, in which the new 3D PPy@P‐CF is used for efficiently concentrating PFAS and Cu2+‐mediated photodegradation is applied for the completely destroying PFAS in the sorbent regeneration eluent.
Hao Yu   +5 more
wiley   +1 more source

Enfermedades neuromusculares P1 (Pósteres)

open access: yesNeurology Perspectives, 2023
doaj   +1 more source

Imidazoliumyl-substituted di- and iso-tetraphosphanes and their metal-mediated fragmentation reactions. [PDF]

open access: yesChem Sci
Fidelius J   +7 more
europepmc   +1 more source

P1 puhtausluokan toteutuminen työmaalla

open access: yes
Nykyään rakentamisessa on alettu kiinnittämään enemmän huomiota sisäilmaan ja sen laatuun, jonka seurauksena P1-työmaat ovat alkaneet yleistymään. P1- hankkeissa suunnittelu pitää olla tarkempaa kaikilla osa-alueilla, jotta se voidaan toteuttaa oikein.
Keränen, Titta
core  

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

Neurología general P1 (Pósteres)

open access: yesNeurology Perspectives, 2023
doaj   +1 more source

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