- Healthcare professionals’ stress and burnout
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- Radiation Dose and Imaging
- Radiology practices and education
- COVID-19 and healthcare impacts
- Clinical Reasoning and Diagnostic Skills
- Biochemical Analysis and Sensing Techniques
- RNA Interference and Gene Delivery
- COVID-19 and Mental Health
- Bacteriophages and microbial interactions
- Artificial Intelligence in Healthcare and Education
- Sepsis Diagnosis and Treatment
- Bacterial Genetics and Biotechnology
- Machine Learning in Healthcare
- COVID-19 diagnosis using AI
- melanin and skin pigmentation
- Retinal Development and Disorders
- Stress and Burnout Research
- DNA and Nucleic Acid Chemistry
- Virus-based gene therapy research
- COVID-19 Clinical Research Studies
- Animal Virus Infections Studies
Institute for Integrative Systems Biology
2024
Universitat de València
2012-2024
Instituto de Investigación Sanitaria La Fe
2021-2023
The interaction of viral surface components with cellular receptors and other entry factors determines key features infection such as host range, tropism virulence. Despite intensive research, our understanding these interactions remains limited. Here, we report a systematic analysis published work on mammalian virus attachment factors. We build dataset twice the size those available to date specify role each factor in entry. identify proteins that are preferentially used receptors, which...
Abstract Background The only known albino gorilla, named Snowflake , was a male wild born individual from Equatorial Guinea who lived at the Barcelona Zoo for almost 40 years. He diagnosed with non-syndromic oculocutaneous albinism, i.e. white hair, light eyes, pink skin, photophobia and reduced visual acuity. Despite previous efforts to explain genetic cause, this is still unknown. Here, we study cause of his albinism making use whole genome sequencing data find higher inbreeding...
Abstract Integral membrane proteins are assembled into the ER via a continuous ribosome-translocon channel. The hydrophobicity and thickness of core bilayer leads to expectation that transmembrane (TM) segments minimize cost harbouring polar polypeptide backbones by adopting regular pattern hydrogen bonds form α-helices before integration. Co-translational folding nascent chains an α-helical conformation in ribosomal tunnel has been demonstrated previously, but features governing this not...
Abstract Background Estimating the required sample size is crucial when developing and validating clinical prediction models. However, there no consensus about how to determine in such a setting. Here, goal was compare available methods define practical solution estimation for predictive models, as applied Horizon 2020 PRIMAGE case study. Methods Three different (Riley’s; “rule of thumb” with 10 5 events per predictor) were employed calculate develop models analyse variation function...
The vast majority of membrane proteins are anchored to biological membranes through hydrophobic α-helices. Sequence analysis high-resolution protein structures show that ionizable amino acid residues present in transmembrane (TM) helices, often with a functional and/or structural role. Here, using as scaffold the TM domain model glycophorin A (GpA), we address consequences replacing specific by acids on helix insertion and packing, both detergent micelles membranes. Our findings demonstrate...
Abstract The great majority of helical membrane proteins are inserted co-translationally into the ER through a continuous ribosome-translocon channel. efficiency insertion depends on transmembrane (TM) helix amino acid composition, length and position acids within helix. In this work, we conducted computational analysis composition location in helices found known structure to obtain an extensive set designed polypeptide segments with naturally occurring distributions. Then, using vitro...
Abstract Objectives: To develop prognosis prediction models for COVID-19 patients attending an emergency department (ED) based on initial chest X-ray (CXR), demographics, clinical and laboratory parameters. Methods: All symptomatic confirmed admitted to our hospital ED between February 24th April 2020 were recruited. CXR features, variables abnormality indices extracted by a convolutional neural network (CNN) diagnostic tool considered potential predictors this first visit. The most serious...