Molecular and evolutionary processes generating variation in gene expression

MS Hill, P Vande Zande, PJ Wittkopp - Nature Reviews Genetics, 2021 - nature.com
Heritable variation in gene expression is common within and between species. This
variation arises from mutations that alter the form or function of molecular gene regulatory …

Scalable functional assays for the interpretation of human genetic variation

D Tabet, V Parikh, P Mali, FP Roth… - Annual Review of …, 2022 - annualreviews.org
Scalable sequence–function studies have enabled the systematic analysis and cataloging of
hundreds of thousands of coding and noncoding genetic variants in the human genome …

Mapping the energetic and allosteric landscapes of protein binding domains

AJ Faure, J Domingo, JM Schmiedel… - Nature, 2022 - nature.com
Allosteric communication between distant sites in proteins is central to biological regulation
but still poorly characterized, limiting understanding, engineering and drug development …

An Atlas of Variant Effects to understand the genome at nucleotide resolution

DM Fowler, DJ Adams, AL Gloyn, WC Hahn, DS Marks… - Genome Biology, 2023 - Springer
Sequencing has revealed hundreds of millions of human genetic variants, and continued
efforts will only add to this variant avalanche. Insufficient information exists to interpret the …

Logomaker: beautiful sequence logos in Python

A Tareen, JB Kinney - Bioinformatics, 2020 - academic.oup.com
Sequence logos are visually compelling ways of illustrating the biological properties of DNA,
RNA and protein sequences, yet it is currently difficult to generate and customize such logos …

Revealing enzyme functional architecture via high-throughput microfluidic enzyme kinetics

CJ Markin, DA Mokhtari, F Sunden, MJ Appel, E Akiva… - Science, 2021 - science.org
INTRODUCTION Enzymes possess extraordinary catalytic proficiency and specificity. These
properties ultimately derive from interactions not just between the active-site residues and …

Rapid protein stability prediction using deep learning representations

LM Blaabjerg, MM Kassem, LL Good, N Jonsson… - Elife, 2023 - elifesciences.org
Predicting the thermodynamic stability of proteins is a common and widely used step in
protein engineering, and when elucidating the molecular mechanisms behind evolution and …

A deep learning approach to programmable RNA switches

NM Angenent-Mari, AS Garruss, LR Soenksen… - Nature …, 2020 - nature.com
Engineered RNA elements are programmable tools capable of detecting small molecules,
proteins, and nucleic acids. Predicting the behavior of these synthetic biology components …

Machine learning for designing next-generation mRNA therapeutics

SM Castillo-Hair, G Seelig - Accounts of Chemical Research, 2021 - ACS Publications
Conspectus Over just the last 2 years, mRNA therapeutics and vaccines have undergone a
rapid transition from an intriguing concept to real-world impact. However, whereas some …

The genetic architecture of protein stability

AJ Faure, A Martí-Aranda, C Hidalgo-Carcedo… - Nature, 2024 - nature.com
There are more ways to synthesize a 100-amino acid (aa) protein (20100) than there are
atoms in the universe. Only a very small fraction of such a vast sequence space can ever be …