Results 111 to 120 of about 737,876 (305)

Nucleic acid structure and sequence probing using fluorescent base analogue tC^o [PDF]

The fluorescent cytosine analog tC(o) is on average the brightest probe of its kind and, moreover, it introduces minimal perturbations to the normal secondary structure of DNA.
Börjesson, Karl, Sandin, Peter, Wilhelmsson, Marcus   +2 more
core  

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

Energy Transfer as A Driving Force in Nucleic Acid–Protein Interactions

Molecules, 2019
Many nucleic acid–protein structures have been resolved, though quantitative structure-activity relationship remains unclear in many cases. Thrombin complexes with G-quadruplex aptamers are striking examples of a lack of any correlation between ...
Elena Zavyalova, Alexey Kopylov
doaj   +1 more source

Snf2 family ATPases and DExx box helicases:differences and unifying concepts from high-resolution crystal structures [PDF]

, 2006
Proteins with sequence similarity to the yeast Snf2 protein form a large family of ATPases that act to alter the structure of a diverse range of DNA–protein structures including chromatin. Snf2 family enzymes are related in sequence to DExx box helicases,
Aasland, Ahne, Akhtar, Andrew Flaus, Asturias, Auble, Auble, Auble, Bazett-Jones, Becker, Beerens, Bouazoune, Boyer, Boyer, Briggs, Caruthers, Corona, Cote, Dasgupta, Davis, Deaconescu, Dhalluin, Dumont, Durr, Eisen, Fan, Fitzgerald, Flaus, Flaus, Goldmark, Gorbalenya, Grune, Harald Dürr, Havas, Hishida, Ito, Jaskelioff, Kagalwala, Karl-Peter Hopfner, Kawaoka, Kim, Laurent, Laurent, Levin, Levin, Lia, Mahdi, Mannhaupt, Mizuguchi, Morillon, Myong, Peterson, Petukhova, Petukhova, Phelan, Pray-Grant, Quinn, Richmond, Ristic, Saha, Saha, Schild, Sengoku, Serebrov, Shen, Shinohara, Simic, Sims, Singleton, Singleton, Singleton, Smith, Soultanas, Sprouse, Stanley, Studitsky, Subramanya, Sukhodolets, Svejstrup, Swagemakers, Tai, Thoma, Tom Owen-Hughes, Tran, Tsukiyama, van den Boom, van Gool, Van Komen, Velankar, Wang, Whitehouse, Woudstra, Yu, Yu, Zhang, Zofall   +95 more
core   +4 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

(Dys)function Follows Form: Nucleic Acid Structure, Repeat Expansion, and Disease Pathology in FMR1 Disorders. [PDF]

Int J Mol Sci, 2021
Zhao X, Usdin K.
europepmc   +1 more source

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

SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures

BMC Bioinformatics, 2005
Background The interacting residues of protein and nucleic acid sequences are close to each other – they are co-located. Structure databases (like Protein Data Bank, PDB and Nucleic Acid Data Bank, NDB) contain all information about these co-locations ...
Fördös Gergely, Biro Jan C
doaj   +1 more source

Introduction to emerging concepts in nucleic acids: structures, functions and applications

, 2023
Dhiraj Bhatia, Prabal K. Maiti, Xiaogang Liu, Arun Richard Chandrasekaran   +3 more
openalex   +2 more sources

Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data [PDF]

, 2005
Protein-protein and protein nucleic acid interactions are vitally important for a wide range of biological processes, including regulation of gene expression, protein synthesis, and replication and assembly of many viruses.
Carpenter, Susan, Dobbs, Drena, Dobbs, Drena, Honavar, Vasant, Jernigan, Robert, Jernigan, Robert, Lee, Jae-Hyung, Terribilini, Michael, Yan, Changhui   +8 more
core   +3 more sources