is an important genus, with several species associated with infections in humans and animals. In a survey of soil fungal diversity in Yunnan province, PR China, a novel taxon, sp. nov., was identified based on combined morphological and molecular phylogenetic features. Morphologically, this species is characterized by having torulose, septate hyphae and swollen, terminal or intercalary conidiogenous cells arising at acute angles from aerial hyphae. Phylogenetic analysis of the combined sequences of the internal transcribed spacer, the small and large nuclear subunit of the rRNA gene and part of the β-tubulin gene confirmed the phylogenetic position of the new species within the genus .
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1099/ijsem.0.005116 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Plasma Exchange and N-Acetylcysteine Therapy in a Case of Congenital Thrombotic Thrombocytopenic Purpura Presenting With Acute Renal Failure.
J Pediatr Hematol Oncol
January 2025
Departments of Pediatric Hematology.
Congenital thrombotic thrombocytopenic purpura (cTTP), which is associated with mutations in the gene for a disintegrin and metalloproteinase with a thrombospondin type 1 motif member 13 (ADAMTS13), is a chronic and lifelong disease. The clinical course is variable. Regularly using ADAMTS13-containing products such as fresh frozen plasma (FFP) for long-term prophylaxis is the most important treatment to prevent thrombotic microangiopathy (TMA) episodes.
View Article and Find Full Text PDFMachine learning-enabled virtual screening indicates the anti-tuberculosis activity of aldoxorubicin and quarfloxin with verification by molecular docking, molecular dynamics simulations, and biological evaluations.
Brief Bioinform
November 2024
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing 100020, China.
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.
View Article and Find Full Text PDFA comprehensive benchmark study of methods for identifying significantly perturbed subnetworks in cancer.
Brief Bioinform
November 2024
Department of Microbiology and Immunology, University at Buffalo, The State University of New York, 955 Main Street, Buffalo, New York, NY 14203, United States.
Network-based methods utilize protein-protein interaction information to identify significantly perturbed subnetworks in cancer and to propose key molecular pathways. Numerous methods have been developed, but to date, a rigorous benchmark analysis to compare the performance of existing approaches is lacking. In this paper, we proposed a novel benchmarking framework using synthetic data and conducted a comprehensive analysis to investigate the ability of existing methods to detect target genes and subnetworks and to control false positives, and how they perform in the presence of topological biases at both gene and subnetwork levels.
View Article and Find Full Text PDFSTNGS: a deep scaffold learning-driven generation and screening framework for discovering potential novel psychoactive substances.
Brief Bioinform
November 2024
School of Science, China Pharmaceutical University, Nanjing 211198, China.
The supervision of novel psychoactive substances (NPSs) is a global problem, and the regulation of NPSs was heavily relied on identifying structural matches in established NPSs databases. However, violators could circumvent legal oversight by altering the side chain structure of recognized NPSs and the existing methods cannot overcome the inaccuracy and lag of supervision. In this study, we propose a scaffold and transformer-based NPS generation and Screening (STNGS) framework to systematically identify and evaluate potential NPSs.
View Article and Find Full Text PDFThe iPhylo suite: an interactive platform for building and annotating biological and chemical taxonomic trees.
Brief Bioinform
November 2024
MOE Key Laboratory of Biosystems Homeostasis & Protection, and Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang 310030, China.
Accurate and rapid taxonomic classifications are essential for systematically exploring organisms and metabolites in diverse environments. Many tools have been developed for biological taxonomic trees, but limitations apply, and a streamlined method for constructing chemical taxonomic trees is notably absent. We present the iPhylo suite (https://www.
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!