808 Works

3D Models: Turmeric (curcumin)and Murexide

Henry Rzepa

Bimolecular MeI+ CCIMe TS C2h CCSD(T)/Def2-TZVPPD/SCRF=DCM E = -749.7885067 (-749.7486023) DE = 25.0

Henry Rzepa
Gaussian Calculation

PhI-CC + CC-IPh, 1,1-TS, Def2-SVPD Cs symmetry G = -1210.027145 ΔG = 19.9 IRC

Henry Rzepa
Gaussian Calculation

Validating the chemical literature heritage. Eudesma-1,3-dien-6,13-olide.

Henry Rzepa

CC-IPh + 2,6-di-t-butylphenoxy, 1,1-TS, Def2-SVPD Cs symmetry G = -1225.452754, IPh coplanar

Henry Rzepa
Gaussian Calculation

Data from: Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study

Lina Cai, Eleanor Wheeler, Nicola D. Kerrison, Jian'an Luan, Panos Deloukas, Paul W. Franks, Pilar Amiano, Eva Ardanaz, Catalina Bonet, Guy Fagherazzi, Leif C. Groop, Rudolf Kaaks, José María Huerta, Giovanna Masala, Peter M. Nilsson, Kim Overvad, Valeria Pala, Salvatore Panico, Miguel Rodriguez-Barranco, Olov Rolandsson, Carlotta Sacerdote, Matthias B. Schulze, Annemieke M.W. Spijkeman, Anne Tjonneland, Rosario Tumino … & Nicholas J. Wareham
Type 2 diabetes (T2D) is a global public health challenge. Whilst the advent of genome-wide association studies has identified >400 genetic variants associated with T2D, our understanding of its biological mechanisms and translational insights is still limited. The EPIC-InterAct project, centred in 8 countries in the European Prospective Investigations into Cancer and Nutrition study, is one of the largest prospective studies of T2D. Established as a nested case-cohort study to investigate the interplay between genetic...

Predicting the impact of patient and private provider behaviour on diagnostic delay for pulmonary tuberculosis patients in India: A simulation modelling approach

Sarang Deo, Simrita Singh, Neha Jha, Nimalan Arinaminpathy & Puneet Dewan
Background TB incidence in India continues to be high due, in large part, to long delays experienced by patients before successful diagnosis and treatment initiation, especially in the private sector. This diagnostic delay is driven by patients’ inclination to switch between different type of providers and providers’ inclination to delay ordering of accurate diagnostic tests relevant to TB. Our objective is to quantify the impact of changes in these behavioural characteristics of providers and patients...

Data from: Dominant bee species and floral abundance drive parasite temporal dynamics in plant-pollinator communities

Peter Graystock, Wee Hao Ng, Kyle Parks, Amber D. Tripodi, Paige A. Muñiz, Ashley A. Fersch, Christopher R. Myers, Quinn S. McFrederick & Scott H. McArt
Pollinator declines can leave communities less diverse and potentially at increased risk to infectious diseases. Species-rich plant and bee communities have high species turnover, making the study of disease dynamics challenging. To address how temporal dynamics shape parasite prevalence in plant and bee communities, we screened >5,000 bees and flowers through an entire growing season for five common bee microparasites (Nosema ceranae, N. bombi, Crithidia bombi, C. expoeki and neogregarines). Over 110 bee species and...

Registration Year

  • 2020
    808

Resource Types

  • Dataset
    808

Affiliations

  • Imperial College London
    808
  • University of Oxford
    11
  • University of Cambridge
    4
  • University of Exeter
    4
  • University of Southampton
    3
  • University of Leeds
    3
  • University of Birmingham
    3
  • London School of Hygiene & Tropical Medicine
    2
  • Shell (Netherlands)
    2
  • Ghent University
    2