Dandy-Walker Malformation with Neonatal Meningitis: A Case Report.

Dandy-Walker syndrome is a rare congenital central nervous system malformation. Dandy-Walker variant is characterised by cerebellar vermian hypoplasia, cystic fourth ventricular dilatation, and normal posterior fossa volume. Various prenatal tests such as ultrasound, fetal magnetic resonance imaging, and amniocentesis can help diagnose Dandy-Walker syndrome. Here, we report a case of the Dandy-Walker variant with meningitis in a neonate admitted to the neonatal intensive care unit due to multiple petechiae on the anterior abdominal wall, accompanied by peripheral cyanosis at the time of birth. Although maximum cases are diagnosed prenatally, some cases might be missed due to inadequate antenatal examination. Magnetic imaging resonance of the brain is best for the diagnosis of Dandy-Walker syndrome postnatally. Keywords: case reports; Dandy-Walker malformation, magnetic resonance imaging, meningitis.

Role of Experiential Learning in the Desensitization of a Medical Student: Our Perspective.

Being a medical student, it is really important to balance all sorts of emotions either positive or negative. Desensitization plays a significant role in shaping medical students' way to become efficient physicians. In this article, we discuss the effectiveness of experiential learning from the early medical student days such as in cadaveric dissection hall, operation theatre, and clinical rotation. The journey of desensitization among medical students is beneficial in situations that require emotional resilience over emotional instability. Experiential learning helps medical students in knowledge retention and a better understanding of their learning strengths and areas of improvement. Keywords: cadaver; emotions; experiential learning; medical students.

Terzyme: a tool for identification and analysis of the plant terpenome.

BACKGROUND: Terpenoid hydrocarbons represent the largest and most ancient group of phytochemicals, such that the entire chemical library of a plant is often referred to as its 'terpenome'. Besides having numerous pharmacological properties, terpenes contribute to the scent of the rose, the flavors of cinnamon and the yellow of sunflowers. Rapidly increasing -omics datasets provide an unprecedented opportunity for terpenome detection, paving the way for automated web resources dedicated to phytochemical predictions in genomic data. RESULTS: We have developed Terzyme, a predictive algorithm for identification, classification and assignment of broad substrate unit to terpene synthase (TPS) and prenyl transferase (PT) enzymes, known to generate the enormous structural and functional diversity of terpenoid compounds across the plant kingdom. Terzyme uses sequence information, plant taxonomy and machine learning methods for predicting TPSs and PTs in genome and proteome datasets. We demonstrate a significant enrichment of the currently identified terpenome by running Terzyme on more than 40 plants. CONCLUSIONS: Terzyme is the result of a rigorous analysis of evolutionary relationships between hundreds of characterized sequences of TPSs and PTs with known specificities, followed by analysis of genome-wide gene distribution patterns, ontology based clustering and optimization of various parameters for building accurate profile Hidden Markov Models. The predictive webserver and database is freely available at http://nipgr.res.in/terzyme.html and would serve as a useful tool for deciphering the species-specific phytochemical potential of plant genomes.