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1. www.chemistry.ucla.edu › directory › eisenberg-david-sEisenberg, David S. – UCLA - University of California, Los ...

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   David Eisenberg is currently Professor of Chemistry and Biochemistry and Biological Chemistry, as well as HHMI Investigator and Director of the UCLA-DOE Institute for Genomics and Proteomics. Before he came to UCLA, Eisenberg earned an A.B. in Biochemical Sciences from Harvard College and a D.Phil. from Oxford University in Theoretical ...

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3. en.wikipedia.org › wiki › David_EisenbergDavid Eisenberg - Wikipedia

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   David S. Eisenberg (born 15 March 1939 [citation needed]) is an American biochemist and biophysicist best known for his contributions to structural biology and computational molecular biology.

   • Doctoral advisor: Charles Coulson

   • Doctoral students: Michael Gribskov

4. eisenberglab.mbi.ucla.eduDavid Eisenberg's Lab

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   David Eisenberg and his research group study the structural basis for conversion of normal proteins to the amyloid state and conversion of prions to the infectious state. They use bioinformatics and structural tools to determine the atomic-level structure of amyloid spines and toxic units, and design inhibitors of amyloid toxicity.

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   What does David Eisenberg study?

   • David Eisenberg and his research group focus on protein interactions. In their experiments they study the structural basis for conversion of normal proteins to the amyloid state and conversion of prions to the infectious state.

   Eisenberg, David S. – UCLA

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   What does John Eisenberg do?

   • Eisenberg's current research focuses on the structural biology of amyloidogenic proteins, while his computational efforts largely center on the development of bioinformatic /proteomic methodologies for elucidation and analysis of protein interaction networks. His research group hosts the Database of Interacting Proteins.

   David Eisenberg - Wikipedia

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   What did Eisenberg discover?

   • Eisenberg D The discovery of the alpha-helix and beta-sheet, the principal structural features of proteins. Proc. Natl. Acad.

   Publications | David Eisenberg's Lab

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   Where did John Eisenberg go to college?

   • Eisenberg attended Harvard University and graduated in 1961 with an A.B. in Biochemical Sciences. He went on to the University of Oxford, where he was awarded a D.Phil in 1965 for research supervised by Charles Coulson .

   David Eisenberg - Wikipedia

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6. bmsb.chem.ucla.edu › leadership › david-s-eisenbergDavid S. Eisenberg | Biochemistry, Molecular and Structural ...

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   David Eisenberg is a Professor of Chemistry and Biochemistry and a Distinguished Professor at UCLA, and the Director of the UCLA-DOE Institute for Genomics and Proteomics. He is a leader in protein interactions, amyloid and prion diseases, bioinformatics, and bioenergy. He has received many honors and awards, including the 2008 Emily Gray Award from the Biophysical Society.

7. eisenberglab.mbi.ucla.edu › publicationsPublications | David Eisenberg's Lab

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   Publications | David Eisenberg's Lab. 2024. Rosenberg GM, Abskharon R, Boyer DR, Ge P, Sawaya MR, Eisenberg DS Fibril structures of TFG protein mutants validate the identification of TFG as a disease-related amyloid protein by the IMPAcT method PNAS Nexus. 2023 Nov 20;2 (12):pgad402 2024 PMID: 38077690.

8. scholar.google.com › citations‪David S. Eisenberg‬ - ‪Google Scholar‬

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   1992. A method to identify protein sequences that fold into a known three-dimensional structure. JU Bowie, R Lüthy, D Eisenberg. Science 253 (5016), 164-170. , 1991. 3739. 1991. Analysis of membrane and surface protein sequences with the hydrophobic moment plot. D Eisenberg, E Schwarz, M Komaromy, R Wall.

9. www.chem.ucla.edu › dept › FacultyDAVID EISENBERG - University of California, Los Angeles

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   Oct 26, 1995 · A central question of biochemistry is how the amino acid sequence of a protein determines its three-dimensional structure. The goal is to be able to predict the structure from the sequence, a matter of great practical importance. One computational approach being developed is to describe a 3D structure by a 3D profile.