Results 101 to 110 of about 1,460,723 (393)

Refining the NaV1.7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

open access: yesFEBS Letters, EarlyView.
Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma   +8 more
wiley   +1 more source

Putative mRNA Biomarkers for the Eradication of Infection in an Equine Experimental Model of Septic Arthritis

open access: yesVeterinary Sciences
Septic arthritis (SA) in horses has long-term health implications. The success of its resolution hinges on the implementation of early, aggressive treatment, which is often sustained over a prolonged period. Common diagnostic methods do not allow for the
Roman V. Koziy   +6 more
doaj   +1 more source

Next-Generation Sequencing in the Mycology Lab [PDF]

open access: yesCurrent Fungal Infection Reports, 2016
New state-of-the-art techniques in sequencing offer valuable tools in both detection of mycobiota and in understanding of the molecular mechanisms of resistance against antifungal compounds and virulence. Introduction of new sequencing platform with enhanced capacity and a reduction in costs for sequence analysis provides a potential powerful tool in ...
Zoll, J.   +3 more
openaire   +5 more sources

New Optimal Binary Sequences with Period $4p$ via Interleaving Ding-Helleseth-Lam Sequences [PDF]

open access: yesDesigns, Codes & Cryptography, 2017, 2017
Binary sequences with optimal autocorrelation play important roles in radar, communication, and cryptography. Finding new binary sequences with optimal autocorrelation has been an interesting research topic in sequence design. Ding-Helleseth-Lam sequences are such a class of binary sequences of period $p$, where $p$ is an odd prime with $p\equiv 1 ...
arxiv   +1 more source

Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice.

open access: yesClinical Infectious Diseases, 2018
Background Metagenomic next-generation sequencing (mNGS) was suggested to potentially replace traditional microbiological methodology because of its comprehensiveness.
Qing Miao   +17 more
semanticscholar   +1 more source

Linking de novo assembly results with long DNA reads by dnaasm-link application

open access: yes, 2018
Currently, third-generation sequencing techniques, which allow to obtain much longer DNA reads compared to the next-generation sequencing technologies, are becoming more and more popular.
Franus, Wiktor   +2 more
core   +1 more source

Base calling for high-throughput short-read sequencing: dynamic programming solutions [PDF]

open access: yes, 2013
Shreepriya Das and Haris Vikalo are with the Electrical and Computer Engineering Department, The University of Texas at Austin, Austin, Texas 78712, USABackground: Next-generation DNA sequencing platforms are capable of generating millions of reads in ...
Das, Shreepriya, Vikalo, Haris
core   +3 more sources

The power of microRNA regulation—insights into immunity and metabolism

open access: yesFEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto   +2 more
wiley   +1 more source

Linear Complexity of Geometric Sequences Defined by Cyclotomic Classes and Balanced Binary Sequences Constructed by the Geometric Sequences [PDF]

open access: yes, 2018
Pseudorandom number generators are required to generate pseudorandom numbers which have good statistical properties as well as unpredictability in cryptography. An m-sequence is a linear feedback shift register sequence with maximal period over a finite field.
arxiv   +1 more source

Application of Sequence Embedding in Protein Sequence-Based Predictions [PDF]

open access: yesarXiv, 2021
In sequence-based predictions, conventionally an input sequence is represented by a multiple sequence alignment (MSA) or a representation derived from MSA, such as a position-specific scoring matrix. Recently, inspired by the development in natural language processing, several applications of sequence embedding have been observed.
arxiv  

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