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Timothy M. Jacobs

Researcher at University of North Carolina at Chapel Hill

Publications -  24
Citations -  1086

Timothy M. Jacobs is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Agglutination (biology) & Protein design. The author has an hindex of 10, co-authored 23 publications receiving 555 citations. Previous affiliations of Timothy M. Jacobs include Durham University & State University of New York System.

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Journal ArticleDOI

Macromolecular modeling and design in Rosetta: recent methods and frameworks

Julia Koehler Leman, +117 more
- 01 Jul 2020 - 
TL;DR: This Perspective reviews tools developed over the past five years in the Rosetta software, including over 80 methods, and discusses improvements to the score function, user interfaces and usability.
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Analysis of Pre-existing IgG and IgM Antibodies against Polyethylene Glycol (PEG) in the General Population

TL;DR: The widespread prevalence of pre-existing anti-PEG Ab, coupled with high Ab levels in a subset of the population, underscores the potential importance of screening patients for anti- PEG Ab levels prior to administration of therapeutics containing PEG.
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Design of structurally distinct proteins using strategies inspired by evolution.

TL;DR: This method provides a new strategy to rapidly create large numbers of diverse and designable protein scaffolds, which allows rapid design of a diverse set of structures that will facilitate functional design.
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Identification and Characterization of MCM3 as a Kelch-like ECH-associated Protein 1 (KEAP1) Substrate

TL;DR: The targeted investigation of KEAP1-interacting proteins revealed MCM3, an essential subunit of the replicative DNA helicase, as a new substrate of the KE AP1-CUL3-RBX1 E3 ligase, and it is determined thatKEAP1 does not regulate total MCM 3 protein stability or subcellular localization, and these data establish new functions for KEAP 1 within the nucleus.
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SwiftLib: rapid degenerate-codon-library optimization through dynamic programming.

TL;DR: A dynamic programming solution to the task of finding the best DCs while keeping the size of the library beneath some given limit, improving on the existing integer-linear programming formulation.