Results 261 to 270 of about 236,648 (327)

MSC-extracellular vesicle microRNAs target host cell-entry receptors in COVID-19: in silico modeling for in vivo validation. [PDF]

Stem Cell Res Ther
Al Saihati HA, Dessouky AA, Salim RF, Elgohary I, El-Sherbiny M, Ali FEM, Moustafa MMA, Shaheen D, Forsyth NR, Badr OA, Ebrahim N.   +10 more
europepmc   +1 more source

Highly Secure In Vivo DNA Data Storage Driven by Genomic Dynamics

Advanced Science, EarlyView.
Integrated computational‐biological programming enables secure in vivo data storage by generating code tables from either genomes or gene regulatory networks, expanding the encryption key space by over 100 orders of magnitude. Storing code tables within synthetic genes, genomes, or gene regulatory networks adds an additional layer of security by ...
Jiaxin Xu, Yu Wang, Haibo Zhou, Mingen Li, Yang Wang, Lingwei Wang, Hui Mei, Junbiao Dai, Shanze Chen, Xiaoluo Huang   +9 more
wiley   +1 more source

BEERS2: RNA-Seq simulation through high fidelity in silico modeling. [PDF]

Brief Bioinform
Brooks TG, Lahens NF, Mrčela A, Sarantopoulou D, Nayak S, Naik A, Sengupta S, Choi PS, Grant GR.   +8 more
europepmc   +1 more source

SUPER: Upcycling Genetic Parts for Precise Gene Expression Control, Leakage Minimization, and Genetic Circuit Stability

Advanced Science, EarlyView.
To precisely modulate natural and synthetic regulatory parts, SUPER is introduced as a sophisticated and tunable controller of genetic devices without requiring sequence modification on the target. SUPER enhances dynamic range of RNA‐, chemical‐, temperature‐, and protein‐responsive biosensors up to 1011%, and converts biosensors to cover an expanded ...
Taeyang Heo, Dongwon Park, Woosub Shin, Jongmin Kim   +3 more
wiley   +1 more source

An in-silico modeling approach to separate exogenous and endogenous plasma insulin appearance, with application to inhaled insulin. [PDF]

Sci Rep
Piersanti A, Pacini G, Tura A, D'Argenio DZ, Morettini M.   +4 more
europepmc   +1 more source

Principles for Rigorous Design and Application of Synthetic Microbial Communities

Advanced Science, EarlyView.
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang, Minyu Jing, Lihui Lyu, Li Nie, Xihui Xu, Ru Sun, Xiyuan Xu, Siyu Chen, Shuobing He, Yumeng Zhang, Ping Huang, Weijie Luo, Jiaojiao Liang, Guifeng Gao, Kunkun Fan, Teng Yang, Liyan Zhang, Xiao Fu, Sarah M. Allard, Jack A. Gilbert, Jiabao Zhang, Haiyan Chu   +21 more
wiley   +1 more source

In silico modeling and simulation of organ-on-a-chip systems to support data analysis and a priori experimental design. [PDF]

CPT Pharmacometrics Syst Pharmacol
Milani N, Parrott N, Galetin A, Fowler S, Gertz M.   +4 more
europepmc   +1 more source

Mapping the Non‐Canonical Splicing Variants: Decrypting the Hidden Genetic Architecture of Idiopathic Male Infertility

Advanced Science, EarlyView.
This study highlights the significance of non‐canonical splicing variants in male infertility, a factor often overlooked during the analysis of high‐throughput sequencing data. Incorporating the non‐canonical splicing variants prioritization in the genetic analysis pipeline will increase the genetic diagnosis of patients with male infertility ...
Kuokuo Li, Yuge Chen, Dongdong Tang, Yuying Sheng, Xu Han, Hao Geng, Na Zhang, Zongliu Duan, Guanxiong Wang, Yang Gao, Rui Guo, Rong Hua, Zhiming Ding, Chuan Xu, Qunshan Shen, Zhen Yu, Bing Song, Mingrong Lv, Yuping Xu, Huan Wu, Ji Wu, Yunxia Cao, Xiaojin He   +22 more
wiley   +1 more source

An in silico modeling approach to understanding the dynamics of the post-burn immune response. [PDF]

Front Immunol
Korkmaz HI, Sheraton VM, Bumbuc RV, Li M, Pijpe A, Mulder PPG, Boekema BKHL, de Jong E, Papendorp SGF, Brands R, Middelkoop E, Sloot PMA, van Zuijlen PPM.   +12 more
europepmc   +1 more source

AI‐Driven Acceleration of Fluorescence Probe Discovery

Advanced Science, EarlyView.
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang, Yanbo Li, Xue Tian, Sen Yang, Ruina Luo, Cenxing Zhou, Yuxuan Liu, Jingying Hu, Sen Feng, Lu Gan, Chongzhao Ran, Kun‐Hsing Yu, Junhan Zhao, Xiao Han, Xuan Zhai, Yuntao Jia, Jiapei Dai, Xiyue Wang, Biyue Zhu   +18 more
wiley   +1 more source