Andrew D Ellington

Jul 23, 2024 | nature.com | Daniel Diaz |Daniel Díaz |James M. Loy |Jordan Wells |Andrew D Ellington

AbstractEngineering stabilized proteins is a fundamental challenge in the development of industrial and pharmaceutical biotechnologies. We present Stability Oracle: a structure-based graph-transformer framework that achieves SOTA performance on accurately identifying thermodynamically stabilizing mutations.

Mar 6, 2024 | kivodaily.com | Andrew D Ellington

By: Andrew EllingtonAndrew Ellington, born on April 3, 1992, in Asheville, has woven a rich tapestry of musical and entrepreneurial achievements throughout his life. Discovering his passion for music at the tender age of three, Andrew embarked on a journey that saw him performing nationally by 13, and later, forming the acclaimed Boston live hip-hop band, Viva La Hop, during his tenure at Berklee College of Music.

Dec 10, 2023 | nature.com | Ching-Lin Hsieh |Andrew Horton |Xuping Xie |Hongjie Xia |Pei-Yong Shi |Andrew D Ellington | +7 more

AbstractThe ongoing evolution of SARS-CoV-2 into more easily transmissible and infectious variants has provided unprecedented insight into mutations enabling immune escape. Understanding how these mutations affect the dynamics of antibody-antigen interactions is crucial to the development of broadly protective antibodies and vaccines. Here we report the characterization of a potent neutralizing antibody (N3-1) identified from a COVID-19 patient during the first disease wave.

Aug 16, 2023 | nature.com | Andrew D Ellington

AbstractDeep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D Convolutional Neural Networks (CNNs). These two model types have very different architectures and are commonly trained on different representations of proteins.

Jul 15, 2023 | nature.com | Andrew D Ellington

AbstractLyme disease, one of the most common tickborne diseases, has been rapidly spreading in parallel with the expansion of the range of its tick vector. Better tick surveillance efforts are needed to accurately estimate disease risk and to guide public health and clinical management.