Articles tagged with Bioinformatics
Researchers at IRB Barcelona developed BioExcel-CV19, a repository of Molecular Dynamics simulations to understand SARS-CoV-2 infection. The database provides over 10,000 trajectories for key proteins and facilitates community-wide analysis.
Researchers developed a pipeline to evaluate the risk of infections by aquatic animals. The study found no evidence of human-associated viruses in aquatic animal transcriptomes, confirming their safety as protein sources. However, proper handling and storage are crucial to controlling SARS-CoV-2 spread through cold-chain food.
A new algorithm, SIMSEF, significantly speeds up and simplifies the identification of chemicals in tissues, enabling researchers to confidently recognize and visualize their distribution in organs. This development has great implications for medical diagnosis and treatment outcomes.
Researchers at La Jolla Institute for Immunology found that most T cells can still target epitopes on the new Pirola variant, suggesting people may be able to mount a response against it. The study's findings provide positive news in the fight against SARS-CoV-2, emphasizing the importance of vaccination with updated vaccines.
A team of researchers successfully synthesized a 1.5-million-year-old antibiotic called paleomycin, which displays potent properties against human pathogens. By tracing the evolutionary path of glycopeptide antibiotics, the team gained insights into the development of new drugs and uncovered a common precursor molecule.
Researchers examined venom genes in bees and other hymenopteran taxa using comparative genomics. They found that 12 'families' of peptides and proteins were present in all analyzed hymenopterans, indicating a common ancestor possessed these genes. This suggests that Hymenoptera insects are venomous as an entire group.
Researchers at La Jolla Institute for Immunology and Massachusetts General Hospital mapped the genome to understand how IKAROS controls healthy B cell development. They found that IKAROS solves a big problem in B cell development by bringing together far-away genes through looping, leading to proper expression and antibody production.
This special collection in SLAS Discovery highlights the significant impact of high-content imaging in basic and translational research. Researchers have made advancements in cell painting and phenotypic profiling, offering new therapeutic approaches for diseases such as Gaucher's.
Regenstrief researchers and experts will address key issues in medical informatics at the 2023 AMIA Annual Symposium. The event features a wide range of scientific sessions on topics such as translational bioinformatics, clinical research informatics, and public health informatics.
The A3D-MOBD is a comprehensive database for studying protein aggregation in twelve model organisms. It contains over half a million predictions of protein regions prone to forming aggregates, providing insights into the basis of this phenomenon.
Researchers observed a satellite bacteriophage consistently attaching to a helper bacteriophage at its neck, revealing a new viral relationship. The discovery suggests that this system may be more common than previously thought and could have significant implications for understanding the evolution of viruses.
Novel vaccine candidates using Computationally Optimized Broadly Reactive Antigens (COBRAs) protect against multiple influenza B strains, including those from different lineages. These vaccines show long-lasting protection, potentially reducing the need for yearly updates.
The Cumming Global Centre for Pandemic Therapeutics is offering global grants of up to $200,000 per annum for three years to develop novel therapeutics for pathogens of pandemic potential. Researchers are invited to submit expressions of interest for Round Two of the Foundation Grants program.
Researchers developed the DANGER analysis tool to overcome challenges in CRISPR gene editing. The tool assesses on- and off-target effects without a reference genome, quantifying phenotypic risk at the gene ontology level. This breakthrough enables safer strategies for genome editing in various organisms.
The study reveals that approximately half of examined transcription factors possess distinct binding sequences for specific cell types. MOCCS profiles also predict the effect of single nucleotide polymorphisms on DNA binding of transcription factors.
OmicsSuite is a desktop suite that integrates statistics and multi-omics analysis and visualization, enabling users to analyze large volumes of biological data in multiple formats. The suite provides step-by-step workflows for horticultural plant breeding and molecular mechanism studies.
Researchers at UMC Utrecht developed a deep-learning algorithm that can identify brain tumor types within 20-40 minutes, allowing neurosurgeons to adjust surgical strategies on the spot. This technology has shown promising results and is already being used in clinical practice.
Researchers used AI to predict 3D shapes of over 215 million proteins, providing insights into their functions and evolution. The Protein Universe Atlas offers a valuable resource for scientists to explore protein diversity.
The African BioGenome Project's Open Institute hosts widely-attended workshops across Africa, fostering grassroots knowledge exchange and developing biodiversity genomics and bioinformatics curricula. Over 700 participants learned about cutting-edge technologies shaping the biodiversity and genomics field.
The WVU team evaluated Code Interpreter's features, finding it accessible to students but limited for scientists working with biological data. The plugin breaks down barriers for coding, but lacks internet access and parallel processing capabilities.
Researchers used AI to predict Z-DNA fragment locations that overlap with known mutations causing severe hereditary diseases. These fragments can influence traits and body processes, including hair color, height, weight, and cholesterol levels.
Amarda Shehu is leading a collaborative research project at George Mason University, using deep learning and experimentation to generate controlled properties in molecules. The project aims to address challenges in molecular biology, including resistant bacteria, with potential applications in antimicrobial compounds.
Researchers used a mathematical theory called the free energy principle to predict how real neural networks learn and organize themselves. The study successfully mimicked this process in rat embryo neurons grown in a culture dish, demonstrating the principle's guiding force behind biological neural network learning.
A team of bioinformaticians from Heinrich Heine University Düsseldorf developed a new tool called TurNuP to predict enzyme turnover numbers using AI methods. The tool outperforms previous models and can make predictions even for low-sequence similarity enzymes.
The study identifies 1,074 semi-extractable RNAs potentially involved in phase-separated membraneless organelles. These RNAs are enriched in repressed heterochromatin regions and act as hubs for RNA-RNA interactions.
The Biodiversity Knowledge Hub (BKH) is a one-stop portal providing access to FAIR biodiversity data and services. It enables researchers to navigate linked data, tools, and services across the entire biodiversity research cycle.
The USC PRECOG project aims to develop automated screening tools for clinicians using objective neural and physiological signal biomarkers. The team will advance interdisciplinary methods in neuroscience, linguistics, and machine learning to better understand mental health risk factors.
Researchers at Hokkaido University unveil unprecedented carrier protein-mediated ring-forming step in actinopyridazone biosynthesis. The dihydropyridazinone ring is formed through a novel machinery involving Apy3, Apy4, and Apy6 proteins.
Researchers found that viruses can insert genes into bacteria to help them adapt and survive in nutrient-depleted man-made environments. The study also identified novel immune systems against viruses in bacteria and detected antibiotic resistance genes in viruses on human skin and surfaces.
A pioneering device captures single proteins stochastically, detecting them digitally at high concentrations. This breakthrough could lay the foundation for personalized disease prevention and treatment.
Researchers developed a primer scheme for the human monkeypox virus that can be easily integrated into existing sequencing and bioinformatics infrastructure. This approach enables public health laboratories to rapidly adapt their genomic workflows in response to new outbreaks.
Research identifies beneficial changes in immune system during pregnancy, which can lead to new treatment strategies for MS. Women with MS experience a 70% decrease in relapses during the last third of pregnancy, possibly due to epigenetic changes and hormone regulation.
Researchers developed MOVA to evaluate the pathogenicity of missense variants based on their structural position. The new method showed superior performance in predicting pathogenicity, especially for hotspot mutations in ALS-causing genes like TARDBP and FUS.
Seg2Link refines AI predictions with efficient semi-automated corrections to accurately segment cells in 3D images from a stack of 2D images. This solution enables scientists to process large-scale image data more efficiently, accelerating research in fields such as medicine and biology.
Hanna Kokko, a renowned theoretical evolutionary biologist, has been awarded the Alexander von Humboldt Professorship for her groundbreaking research on the interplay between evolutionary and ecological factors. She will receive EUR 3.5 million to establish her research team and obtain necessary equipment and facilities.
Researchers developed six prediction models using machine learning algorithms to distinguish between atopic dermatitis lesions and non-lesions, achieving high AUC values. The models showed a positive correlation between sample quality and SCORAD scores, indicating improved treatment efficacy.
Researchers have developed an automated calling algorithm for determining B and T cell clonality from NGS data with greater sensitivity than previous models. The new model increases the assay's sensitivity in detecting clonality, allowing for more accurate diagnosis and monitoring of lymphoproliferative disorders.
Researchers developed a 'Skeletal Age' metric to assess impact of fractures on mortality, revealing a loss of one to seven years of life depending on gender, age, and bone site. The online calculator measures bone fragility to help doctors and patients understand fracture risks.
The human pangenome reference combines genetic material from 47 individuals, enabling a deeper and more accurate understanding of worldwide genomic diversity. This improves the detection of variants in the human genome, particularly structural variants that can have important health implications.
A new study reveals a shared molecular response to nanoparticles, linking immune activation and particulate matter exposure. The findings propose a solution to the 'one-chemical-one-signature' problem in chemical safety assessment.
The UC Santa Cruz Genomics Institute will run the Data Coordination Center for the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes (SSPsyGene) Consortium. The team will coordinate an initial selection of 250 relevant genes from nearly 30,000 protein coding genes in the human genome.
Researchers from Saarland University and Stanford University have gained new insights into the manifestations of aging at the molecular level. They found that the process of reading genetic information does not run as smoothly in older individuals, leading to physiological alterations in metabolism.
A WVU research team has created an OPTIMAL model to help students overcome fears of learning code and enhance critical thinking skills when using ChatGPT, a popular AI chatbot. The model facilitates chatbot-aided scientific data analysis and aims to improve coding skills and prompting abilities.
A team of researchers compared 1,800 de novo proteins from fruit flies and humans with computer-generated proteins, revealing small but significant differences in their stability and solubility. The study suggests that natural selection may play a role in the early emergence of these proteins.
Researchers at Nagoya University used PESI/MS/MS to analyze anthocyanins in crops, detecting 81 types of compounds in just 3 minutes. This technique simplifies and accelerates the analysis of plant metabolites, which contribute to crop quality and functionality.
Researchers at the University of Illinois have identified a novel class of ribosomal peptides called daptides, which exhibit hemolytic activity. This discovery opens up new avenues for therapeutic development and highlights the vast potential of undiscovered RiPP classes.
A new model of DNA flexibility has been developed, providing results of unprecedented quality and characterizing precision and efficiency at the computational level. The study presents a systematic and comprehensive analysis of DNA movement correlations and introduces a new method to capture them.
Rice University's assistant professor of computer science, Todd Treangen, has been awarded a $599,943 National Science Foundation CAREER Award to develop a comprehensive computational platform for detecting yet-unseen microbial pathogens. The project aims to characterize previously unseen pathogens that could pose a risk to humans.
Researchers at Osaka Metropolitan University discovered that whale shark rhodopsin can detect blue light, a common wavelength in the deep-sea environment. The unique adaptation allows the whale shark to thrive in low-temperature and low-light conditions, but also makes it less thermally stable.
A new computational technique analyzes bacterial genetic sequences to monitor the spread of antibiotic resistance over time. The study found that resistance genes most likely to spread are those on conjugative plasmids and targeting specific antibiotics, with many coming from a single source.
Richard McIndoe is leading a national research initiative to advance understanding of diabetes and obesity through the National Centers for Metabolic Phenotyping in Live Models of Obesity and Diabetes (MPMOD). The MPMOD initiative provides access to advanced testing services, including bariatric surgery on mice, to enable new insights ...
A study published in Nature Communications reveals that microbes living on the leaves of perennial crops like miscanthus and switchgrass play a crucial role in plant resilience. The research identifies specific microbial functions that could be targeted for future management, promoting crop growth and reducing environmental impact.
The CoDe tool enables precise edits to genetic codes, making vaccines safer and more effective. It can also modulate gene expression in small sections, aiding vaccine design and basic research.
A team of scientists has identified Myo5b as a potential genetic driver of uterine corpus endometrial cancer (UCEC), a fourth deadliest cancer in women. Elevated levels of Myo5B were found in UCEC samples, suggesting its role in transporting nutrient-absorbing transporters to the surface of cancer cells.
Researchers used UK Biobank image and genomic data to uncover insights into rare retinal dystrophies, a leading cause of blindness in working-age adults. The study identified new genetic associations with the thickness of photoreceptor cell layers, offering new avenues for research and diagnosis.
Researchers created a network of interacting proteins to understand the function of genes and link specific biological processes to diseases. They identified groups of proteins interacting with genes linked to over 1,000 human traits, providing insights into new targets for drug discovery and potential repurposing opportunities.
The new Cell Atlas updates reveal that 20% of all neurons in the mouse brain are inhibitory, with detailed information on morphological and electrophysiological properties. The atlas combines various datasets to create a coherent framework for simulating neural circuits.
Researchers at USC Keck School of Medicine have identified two new avenues for treating diverse forms of ALS by suppressing genes and inhibiting proteins. The findings suggest that targeting SYF2 gene suppression and PIKFYVE kinase inhibition may lead to broadly effective treatments for the disease.
A team of biostatisticians created a framework to evaluate the congruence and discordance of laboratory animals with specific human diseases. The tool removes bias from scientific interpretation of animal data for human conditions, revealing that some models mimic biological mechanisms well while others poorly.
Researchers identified 7 key symptoms of long COVID, including heart issues and joint pain, in a study of 52,461 patients. The findings could help healthcare providers diagnose and treat the condition more effectively.