scispace - formally typeset
J

Jeremy Gunawardena

Researcher at Harvard University

Publications -  87
Citations -  4790

Jeremy Gunawardena is an academic researcher from Harvard University. The author has contributed to research in topics: Phosphorylation & Cooperativity. The author has an hindex of 31, co-authored 80 publications receiving 4007 citations. Previous affiliations of Jeremy Gunawardena include Autonomous University of Madrid.

Papers
More filters
Journal ArticleDOI

How many human proteoforms are there

Ruedi Aebersold, +53 more
TL;DR: This work frames central issues regarding determination of protein-level variation and PTMs, including some paradoxes present in the field today, and uses this framework to assess existing data and ask the question, "How many distinct primary structures of proteins (proteoforms) are created from the 20,300 human genes?"
Journal ArticleDOI

PHOSIDA 2011: the posttranslational modification database

TL;DR: High-accuracy species-specific phosphorylation and acetylation site predictors, trained on the modification sites contained in PHOSIDA, allow the in silico determination of modified sites on any protein on the basis of the primary sequence.
Journal ArticleDOI

Post-translational modification: nature's escape from genetic imprisonment and the basis for dynamic information encoding.

TL;DR: The ‘mod‐form distribution’—the relative stoichiometries of each mod‐form—is introduced as the most informative measure of a protein's state as well as a quantitative framework in which to interpret ideas of ‘PTM codes’ that are emerging in several areas of biology.
Journal ArticleDOI

Multisite protein phosphorylation makes a good threshold but can be a poor switch

TL;DR: It is pointed out that conventional measures of ultrasensitivity must be modified to discriminate between thresholding and switching; additional factors that influence switching efficiency are discussed and new directions for experimental investigation are suggested.
Journal ArticleDOI

Unlimited multistability in multisite phosphorylation systems

TL;DR: It is shown that, when kinase and phosphatase act in opposition on a multisite substrate, the system can exhibit distinct stable phospho-form distributions at steady state and that the maximum number of such distributions increases with n, reducing the complexity of calculating steady states from simulating 3 × 2n differential equations to solving two algebraic equations, while treating parameters symbolically.