883 citations · 1.4k across the 6 of their papers we have counts for
6 papers
When Two are Better than One: Modeling the Mechanisms of Antibody Mixtures
Tal Einav, Jesse D Bloom
It is difficult to predict how antibodies will behave when mixed together, even after each has been independently characterized. Here, we present a statistical mechanical model for…
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…
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…
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…
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…
Inferring interactions from combinatorial protein libraries
Jeffrey B. Endelman, Jesse D. Bloom, Christopher R. Otey +2
Proteins created by combinatorial methods in vitro are an important source of information for understanding sequence-structure-function relationships. Alignments of folded proteins…