Results 191 to 200 of about 3,000,077 (274)

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Analytical performance evaluation and method comparison of the 1copy BCR::ABL1 qPCR assay for monitoring chronic myeloid leukemia. [PDF]

Pract Lab Med
Kim H, Kim DY, Kim H.
europepmc   +1 more source

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source

Artificial neural network analysis of a fractional cyber-epidemic model in wireless sensors under the proportional Hadamard-Caputo operator. [PDF]

Sci Rep
Barakat MA, Hyder AA, Aboelenen T, Iqbal N, Shafee A, Noori N.   +5 more
europepmc   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Enhancing bioinformatics engineering by utilizing graph therapeutic properties for clinically approved antitoxin drugs in zoonotic diseases. [PDF]

Sci Rep
Imran M, Aqib M, Malik MA, Jutt S.
europepmc   +1 more source

Sulfonated Bathocuproine Derivatives as Chemically Bonded Buried‐Interface Engineers for n–i–p Perovskite Solar Cells

Advanced Science, EarlyView.
A BCP‐derived buried‐interface strategy establishes Na‐BCS as a chemically bonded molecular bridge. By combining sulfonate anchoring to SnO2 with preserved BCP–Pb2+ coordination, Na‐BCS simultaneously passivates oxide‐ and perovskite‐side defects, suppresses non‐radiative recombination, and delivers a surface recombination velocity of 8.6 cm s−1, a ...
Dong Hyun Kim, Min Ju Jeong, SeungMin Lee, Oui Jin Oh, Mun Young Woo, Sung Yong Kim, Dong Hun Kang, Chan Young Kim, Chan Ho Shin, Jun Hong Noh   +9 more
wiley   +1 more source

Computationally efficient x-ray simulation framework using parameterized material attenuation models in anatomically detailed imaging. [PDF]

Med Phys
Nassi M, Mikerov M, Michielsen K, Sechopoulos I.   +3 more
europepmc   +1 more source

Junction Physics and Architectural Paradigms in Optoelectronic Semiconductor Fibers

Advanced Science, EarlyView.
Optoelectronic fibers are emerging as a key platform for distributed sensing, energy harvesting, and optical communication in deformable systems. Their performance is fundamentally governed by junction formation under confined, dynamic processing conditions.
Hailiang Wang, Wenshu Ouyang, Yuhang Xiao, Wei Yan, Meifang Zhu   +4 more
wiley   +1 more source

Does stimulus order affect central tendency and serial dependence in vestibular path integration? [PDF]

iScience
Willemsen SCMJ, Oostwoud Wijdenes L, van Beers RJ, Koppen M, Medendorp WP.   +4 more
europepmc   +1 more source