activity
20162023
most citedVariational auto-encoding of protein sequences

49 citations · 132 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.PE2023★ 4 cited

Contrastive losses as generalized models of global epistasis

David H. Brookes, Jakub Otwinowski, Sam Sinai

Fitness functions map large combinatorial spaces of biological sequences to properties of interest. Inferring these multimodal functions from experimental data is a central task in…

q-bio.QM2022

Forecasting labels under distribution-shift for machine-guided sequence design

Lauren Berk Wheelock, Stephen Malina, Jeffrey Gerold +1

The ability to design and optimize biological sequences with specific functionalities would unlock enormous value in technology and healthcare. In recent years, machine learning-gu…

q-bio.QM2020★ 16 cited

A primer on model-guided exploration of fitness landscapes for biological sequence design

Sam Sinai, Eric D Kelsic

Machine learning methods are increasingly employed to address challenges faced by biologists. One area that will greatly benefit from this cross-pollination is the problem of biolo…

cs.LG2020★ 39 cited

AdaLead: A simple and robust adaptive greedy search algorithm for sequence design

Sam Sinai, Richard Wang, Alexander Whatley +3

Efficient design of biological sequences will have a great impact across many industrial and healthcare domains. However, discovering improved sequences requires solving a difficul…

q-bio.PE2019★ 13 cited

Turbulent coherent structures and early life below the Kolmogorov scale

Madison S. Krieger, Sam Sinai, Martin A. Nowak

A great number of biological organisms live in aqueous environments. Major evolutionary transitions, including the emergence of life itself, likely occurred in such environments. W…

q-bio.QM2018★ 49 cited

Variational auto-encoding of protein sequences

Sam Sinai, Eric Kelsic, George M. Church +1

Proteins are responsible for the most diverse set of functions in biology. The ability to extract information from protein sequences and to predict the effects of mutations is extr…

q-bio.PE2016★ 11 cited

Primordial Sex Facilitates the Emergence of Evolution

Sam Sinai, Jason Olejarz, Iulia A. Neagu +1

Compartments are ubiquitous throughout biology, yet their importance stretches back to the origin of cells. In the context of origin of life, we assume that a protocell, a compartm…