Results 111 to 120 of about 451,143 (385)

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source

MD SIMULATION STUDIES TO INVESTIGATE ISO-ENERGETIC CONFORMATIONAL BEHAVIOUR OF MODIFIED NUCLEOSIDES M2G AND M22G PRESENT IN tRNA

Computational and Structural Biotechnology Journal, 2013
Modified nucleic acid bases are most commonly found in tRNA. These may contain modifications from simple methylation to addition of bulky groups. Methylation of the four canonical nucleotide bases at a wide variety of positions is particularly prominent ...
Rohit S Bavi, Susmit B Sambhare, Kailas D Sonawane   +2 more
doaj   +1 more source

Structural snapshots of Xer recombination reveal activation by synaptic complex remodeling and DNA bending [PDF]

, 2016
Bacterial Xer site-specific recombinases play an essential genome maintenance role by unlinking chromosome multimers, but their mechanism of action has remained structurally uncharacterized. Here, we present two high-resolution structures of Helicobacter
Adams, Afonine, Aihara, Arnold, Aussel, Barre, Barre, Biswas, Blakely, Blakely, Blakely, Britton, Carnoy, Chen, Cortez, Das, Debowski, Debowski, Diagne, Dong, Emsley, Ennifar, Fischer, Gopaul, Gopaul, Grainge, Grindley, Guo, Guo, Hendricks, Holliday, Jayaram, Jo, Kabsch, Karaca, Keller, Kelley, Kim, Krissinel, Kuempel, Le Bourgeois, Lee, Leroux, Li, Luscombe, May, McCoy, Midonet, Nagy, Nolivos, Nunes-Düby, Page, Pargellis, Pettersen, Pérals, Rother, Serre, Steiner, Subramanya, Terwilliger, Turan, Val, Van Duyne, Van Duyne, van Zundert, Vonrhein, Yang, Yang, Yates, Yates, Zawadzki, Zheng   +71 more
core   +4 more sources

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

High-Resolution Three-Dimensional NMR Structure Of The KRAS Proto-Oncogene Promoter Reveals Key Features Of A G-Quadruplex Involved In Transcriptional Regulation [PDF]

, 2017
Non-canonical base pairing within guanine-rich DNA and RNA sequences can produce G-quartets, whose stacking leads to the formation of a G-quadruplex (G4).
Ivashchenko, S., Kerkour, A., Marquevielle, J., Mergny, J.-L., Salgado, G. F., Yatsunyk, Liliya A.   +5 more
core   +2 more sources

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

Advanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

Design principles for riboswitch function [PDF]

, 2009
Scientific and technological advances that enable the tuning of integrated regulatory components to match network and system requirements are critical to reliably control the function of biological systems. RNA provides a promising building block for the
A Belle, A Levchenko, A Zaslaver, Adam P. Arkin, B Suess, B Suess, CA Voigt, Chase L. Beisel, Christina D. Smolke, CI An, CL Beisel, DH Mathews, DJ Klein, DM Crothers, DW Selinger, E Dekel, FJ Isaacs, FJ Isaacs, GJ Leclerc, GM Emilsson, GM Suel, GR Zimmermann, HM Al-Hashimi, J Tomsic, JA Bernstein, JA Collins, JE Barrick, JF Lemay, JK Wickiser, JK Wickiser, K Lang, LJ Su, LV Danilova, M Acar, M Parisien, MN Win, MN Win, MR Bennett, MT Cheah, MT Woodside, N Hao, O Kensch, P Corish, PP Zarrinkar, PT Li, R Narsai, R Rieder, RD Jenison, RR Breaker, S Topp, S Topp, SA Lynch, SE Osborne, SK Desai, T Pan, TH Lee, TS Bayer, WC Winkler, WC Winkler, WJ Greenleaf, X Zhang, X Zhuang, Y Yokobayashi   +62 more
core   +4 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Modeling protein–nucleic acid complexes with extremely large conformational changes using Flex‐LZerD

, 2022
Charles Christoffer, Daisuke Kihara
openalex   +1 more source

Real-time label-free detection of dynamic aptamer–small molecule interactions using a nanopore nucleic acid conformational sensor [PDF]

, 2023
George Rugare Chingarande, Kai Tian, Kuang Yu, Aby Sarangee, Chengrui Hou, Emily Ma, Jarett Ren, Sam Hawkins, Joshua Kim, Ray Adelstein, Sally Chen, Kevin D. Gillis, Li‐Qun Gu   +12 more
openalex   +1 more source