In-silico design of a multi-epitope vaccine candidate against Strongyloides stercoralis. [PDF]
Stong Tangan YA +18 more
europepmc +1 more source
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source
In silico design of a multiepitope vaccine against antibiotic drug-resistant Acinetobacter baumannii. [PDF]
Khadka S +6 more
europepmc +1 more source
High‐throughput quantum‐mechanical simulations reveal that amorphous carbon undergoes shear‐driven structural transformation into aromatic, graphene‐like interfaces. This mechanochemical process is governed by dopant chemistry: dopants with valency less than four promote the emergence of superlow‐friction amorphous graphene, whereas tetra‐valent ...
Takuya Kuwahara +4 more
wiley +1 more source
CustomKinFragLib: Filtering the Kinase-Focused Fragmentation Library
Paula Linh Kramer +4 more
doaj +1 more source
In silico design and immunoinformatics evaluation of a multi-epitope vaccine targeting SEPT9 for gastrointestinal adenocarcinomas. [PDF]
Kashyap H +5 more
europepmc +1 more source
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
In silico design and immunoinformatics assessment of a multiepitope vaccine targeting borealpox virus. [PDF]
Naveed M +9 more
europepmc +1 more source
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
In silico design of a novel multi-epitope mRNA vaccine candidate for BtHKU5-CoV-2 using immunoinformatics. [PDF]
Zheng N, Xu Y.
europepmc +1 more source

