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David Eisenberg

Researcher at Technion – Israel Institute of Technology

Publications -  719
Citations -  120468

David Eisenberg is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Amyloid & Protein structure. The author has an hindex of 156, co-authored 697 publications receiving 112460 citations. Previous affiliations of David Eisenberg include Howard Hughes Medical Institute & Hebrew University of Jerusalem.

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Recent atomic models of amyloid fibril structure.

TL;DR: A pair of beta-sheets mated closely together by intermeshing sidechains in what has been termed a steric zipper is revealed, revealing the architecture of amyloid-like fibrils that contain a cross-beta spine.
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Structural Studies of Amyloid Proteins at the Molecular Level.

TL;DR: Amyloid polymorphs may be the molecular basis of prion strains and most of these are short segments of full amyloid-forming proteins, which illuminate the architecture of the amyloids state, including its stability and its capacity for formation of polymorphs.
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Molecular basis for amyloid-beta polymorphism.

TL;DR: To elucidate Aβ polymorphism in atomic detail, eight new microcrystal structures of fiber-forming segments of A β are determined, all of short, self-complementing pairs of β-sheets termed steric zippers, revealing a variety of modes of self-association of Aβ.
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The origin of protein interactions and allostery in colocalization

TL;DR: It follows that colocalization can amplify the effect on one protein of random mutations in another protein and can therefore lead to interactions between proteins and to a startling variety of complex allosteric controls.
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Alternative Therapies Used by Women With Breast Cancer in Four Ethnic Populations

TL;DR: Given the high prevalence of alternative therapies used in San Francisco by the four ethnic groups and the relatively poor communication between patients and doctors, physicians who treat patients with breast cancer should initiate dialogues on this topic to better understand patients' choices with regard to treatment options.