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David A. Evans

Researcher at Eli Lilly and Company

Publications -  137
Citations -  4435

David A. Evans is an academic researcher from Eli Lilly and Company. The author has contributed to research in topics: Leishmaniasis & Cutaneous leishmaniasis. The author has an hindex of 37, co-authored 136 publications receiving 4188 citations. Previous affiliations of David A. Evans include University of London & University of Cambridge.

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Crystal structures of the M1 and M4 muscarinic acetylcholine receptors.

TL;DR: Comparison of crystal structures of the M1 and M4 muscarinic receptors bound to the inverse agonist, tiotropium, reveals differences in the orthosteric and allosteric binding sites that contribute to a role in drug selectivity at this important receptor family.
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Trypanosoma brucei: miniature anion-exchange centrifugation technique for detection of low parasitaemias: adaptation for field use

TL;DR: The AEC method has been shown to be highly sensitive and to fulfil the first essential criteria for exploitation in the field, namely, that it can be operated in the open air under tropical conditions, and that an adequate number of subjects can be examined in a normal working day at an acceptable cost.
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Botulinum toxin A blocks glutamate exocytosis from guinea‐pig cerebral cortical synaptosomes

TL;DR: It is suggested that exocytosis is triggered by the penetration ofCa2+ into an intracellular hydrophobic milieu and that ionomycin is able to bypass this block and deliver Ca2+ to theExocytotic apparatus.
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Visceral leishmaniasis in HIV infection and AIDS: clinical features and response to therapy.

TL;DR: In order to improve the prognosis of visceral leishmaniasis in HIV-infected patients diagnosis will have to be made earlier, taking account of the atypical features, and treatment will need to be improved, both initially and perhaps also by the use of long-term maintenance therapy.
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Free energy landscapes of model peptides and proteins

TL;DR: In this article, a parallel searching algorithm based on eigenvector-following was used to generate databases of minima and transition states for an all-atom model of the peptide Ac(ala)3NHMe and for a simplified bead model of a protein.