activity
19942023
most citedProtein and DNA sequence determinants of thermophilic adaptation

326 citations · 3k across the 112 of their papers we have counts for

collaborators

113 papers

q-bio.QM2023

Evaluating the roughness of structure-property relationships using pretrained molecular representations

David E. Graff, Edward O. Pyzer-Knapp, Kirk E. Jordan +2

Quantitative structure-property relationships (QSPRs) aid in understanding molecular properties as a function of molecular structure. When the correlation between structure and pro…

cond-mat.stat-mech2023★ 4 cited

Evolutionary Dynamics of a Lattice Dimer: a Toy Model for Stability vs. Affinity Trade-offs in Proteins

Emanuele Loffredo, Elisabetta Vesconi, Rostam Razban +4

Understanding how a stressor applied on a biological system shapes its evolution is key to achieving targeted evolutionary control. Here we present a toy model of two interacting l…

physics.chem-ph2023

Mapping the space of photoswitchable ligands and photodruggable proteins with computational modeling

Simon Axelrod, Eugene Shakhnovich, Rafael Gómez-Bombarelli

Light-activated drugs are a promising way to localize biological activity and minimize side effects. However, their development is complicated by the numerous photophysical and bio…

physics.chem-ph2022

Thermal half-lives of azobenzene derivatives: virtual screening based on intersystem crossing using a machine learning potential

Simon Axelrod, Eugene Shakhnovich, Rafael Gomez-Bombarelli

Molecular photoswitches are the foundation of light-activated drugs. A key photoswitch is azobenzene, which exhibits trans-cis isomerism in response to light. The thermal half-life…

physics.bio-ph2022

Systematic conformation-to-phenotype mapping via limited deep-sequencing of proteins

Eugene Serebryany, Victor Y. Zhao, Kibum Park +4

Non-native conformations drive protein misfolding diseases, complicate bioengineering efforts, and fuel molecular evolution. No current experimental technique is well-suited for el…

physics.chem-ph2021★ 94 cited

Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential

Simon Axelrod, Eugene Shakhnovich, Rafael Gómez-Bombarelli

Light-induced chemical processes are ubiquitous in nature and have widespread technological applications. For example, photoisomerization can allow a drug with a photo-switchable s…