AI Article Synopsis
- Haematopoietic cytokines play a crucial role in regulating blood cell formation and immune responses, as well as impacting lymphocyte development.
- The discovery of new cytokine family members is challenged by their rapid evolution and low similarity, making traditional identification methods like BLAST ineffective.
- By utilizing a hidden Markov model algorithm and scanning major protein databases, researchers identified two motifs that led to the prediction of four novel cytokine candidates.
Article Abstract
Haematopoietic cytokines are important in the regulation of haematopoiesis and immune responses, and they can also influence lymphocyte development. Hundreds of members of several different cytokines families have been discovered by some different methods. But fast evolution rate and low similarity of cytokines prevent identifing novel members of a cytokine family completely with classical tools such as BLAST. Here hidden markov model algorithm is performed on Haematopoietic cytokines and inerleukin 10 (IL10) related family, and two motifs are discovered. Then, three famous protein sequence databases(SwissProt, IPI and Nr) were scanned using each motif respectively, which leaded to evaluate the relation between motif and every sequence of database including some unknown proteins or some ambiguous function proteins of known families. Furthermore, the biology features were compared to filter novel members of cytokines. As a result, four proteins are predicted to be the cytokine candidates.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/IEMBS.2005.1615882 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Genome-Wide Identification and Expression Analysis of HSP70 Gene Family Under High-Temperature Stress in Lettuce ( L.).
Int J Mol Sci
December 2024
College of Plant Science and Technology, Beijing University of Agriculture, Beijing 102206, China.
The heat shock protein 70 (HSP70) family plays an important role in the growth and development of lettuce and in the defense response to high-temperature stress; however, its bioinformatics analysis in lettuce has been extremely limited. Genome-wide bioinformatics analysis methods such as chromosome location, phylogenetic relationships, gene structure, collinearity analysis, and promoter analysis were performed in the gene family, and the expression patterns in response to high-temperature stress were analyzed. The mechanism of in heat resistance in lettuce was studied by virus-induced gene silencing (VIGS) and transient overexpression techniques.
View Article and Find Full Text PDFUnveiling hidden reaction kinetics of carbon dioxide in supercritical aqueous solutions.
Proc Natl Acad Sci U S A
January 2025
Department of Physics, The Hong Kong University of Science and Technology, Hong Kong, China.
Dissolution of CO in water followed by the subsequent hydrolysis reactions is of great importance to the global carbon cycle, and carbon capture and storage. Despite numerous previous studies, the reactions are still not fully understood at the atomistic scale. Here, we combined ab initio molecular dynamics (AIMD) simulations with Markov state models to elucidate the reaction mechanisms and kinetics of CO in supercritical water both in the bulk and nanoconfined states.
View Article and Find Full Text PDFTracking the Ghosts of the Himalayas: Snow Leopard Conservation Insights From Satellite Collar Data.
Ecol Evol
January 2025
Département de Biologie, Chimie et Géographie Université du Québec à Rimouski Rimouski Quebec Canada.
This study presents the first movement analysis of snow leopards () using satellite telemetry data, focusing on the northeastern Himalayas of Nepal. By examining GPS-based satellite collar data between 2013 and 2017 from five collared snow leopards (effectively three individuals), the research uncovered distinct movement patterns, activity budgeting and home range utilisation from one adult male and two sub adult females. Hidden Markov models (HMMs) revealed three behavioural states based on the movement patterns-slow (indicative of resting), moderate and fast (associated with travelling) and demonstrated that the time of day influenced their behavioural state.
View Article and Find Full Text PDFReal-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks.
Sci Rep
January 2025
Yunnan Diqing Non-Ferrous Metals Co., Ltd, Yunnan, 674400, China.
Fatigue can cause human error, which is the main cause of accidents. In this study, the dynamic fatigue recognition of unmanned electric locomotive operators under high-altitude, cold and low oxygen conditions was studied by combining physiological signals and multi-index information. The characteristic data from the physiological signals (ECG, EMG and EM) of 15 driverless electric locomotive operators were tracked and tested continuously in the field for 2 h, and a dynamic fatigue state evaluation model based on a first-order hidden Markov (HMM) dynamic Bayesian network was established.
View Article and Find Full Text PDFGenome-Wide Identification and Expression Analysis of Gene Family Members in Seashore Paspalum Under Salt Stress.
Plants (Basel)
December 2024
College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China.
The gene family plays a crucial role in plant growth, development, and responses to biotic and abiotic stresses. , a warm-season turfgrass with exceptional salt tolerance, can be irrigated with seawater. However, the gene family in seashore paspalum remains poorly understood.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!