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researcher

J. Bloom

6 papers hereh-index 6919.7k citations172 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1
  • last author1

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • q-bio.PE4
  • q-bio.BM1
  • q-bio.CB1
same name
  • J. Bloom — 217 papers, h 84
  • J. Bloom — 63 papers, h 38
  • J. Bloom — 39 papers, h 7
  • J. Bloom — 20 papers, h 13
  • J. Bloom — 17 papers, h 16
  • J. Bloom — 12 papers, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052019
most citedWhy highly expressed proteins evolve slowly

883 citations · 1.4k across the 6 of their papers we have counts for

collaborators
Showing q-bio.PEShow all

4 papers · 1 filter

q-bio.PE2007★ 172 cited

Neutral genetic drift can aid functional protein evolution

Jesse D Bloom, Philip A Romero, Zhongyi Lu +1

BACKGROUND: Many of the mutations accumulated by naturally evolving proteins are neutral in the sense that they do not significantly alter a protein's ability to perform its primar…

q-bio.PE2007★ 123 cited

Evolution favors protein mutational robustness in sufficiently large populations

Jesse D. Bloom, Zhongyi Lu, David Chen +3

BACKGROUND: An important question is whether evolution favors properties such as mutational robustness or evolvability that do not directly benefit any individual, but can influenc…

q-bio.PE2006★ 160 cited

Thermodynamics of Neutral Protein Evolution

Jesse D Bloom, Alpan Raval, Claus O Wilke

Naturally evolving proteins gradually accumulate mutations while continuing to fold to thermodynamically stable native structures. This process of neutral protein evolution is an i…

q-bio.PE2005★ 883 cited

Why highly expressed proteins evolve slowly

D. Allan Drummond, Jesse D. Bloom, Christoph Adami +2

Much recent work has explored molecular and population-genetic constraints on the rate of protein sequence evolution. The best predictor of evolutionary rate is expression level, f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.