Paleoproteomics

C Warinner, K Korzow Richter, MJ Collins - Chemical reviews, 2022 - ACS Publications
Paleoproteomics, the study of ancient proteins, is a rapidly growing field at the intersection of
molecular biology, paleontology, archaeology, paleoecology, and history. Paleoproteomics …

Engineering the third wave of biocatalysis

UT Bornscheuer, GW Huisman, RJ Kazlauskas, S Lutz… - Nature, 2012 - nature.com
Over the past ten years, scientific and technological advances have established biocatalysis
as a practical and environmentally friendly alternative to traditional metallo-and …

Unified rational protein engineering with sequence-based deep representation learning

EC Alley, G Khimulya, S Biswas, M AlQuraishi… - Nature …, 2019 - nature.com
Rational protein engineering requires a holistic understanding of protein function. Here, we
apply deep learning to unlabeled amino-acid sequences to distill the fundamental features …

Expanding functional protein sequence spaces using generative adversarial networks

D Repecka, V Jauniskis, L Karpus… - Nature Machine …, 2021 - nature.com
De novo protein design for catalysis of any desired chemical reaction is a long-standing goal
in protein engineering because of the broad spectrum of technological, scientific and …

[HTML][HTML] Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently

A Currin, N Swainston, PJ Day, DB Kell - Chemical Society Reviews, 2015 - pubs.rsc.org
The amino acid sequence of a protein affects both its structure and its function. Thus, the
ability to modify the sequence, and hence the structure and activity, of individual proteins in …

Unusual biophysics of intrinsically disordered proteins

VN Uversky - Biochimica et Biophysica Acta (BBA)-Proteins and …, 2013 - Elsevier
Research of a past decade and a half leaves no doubt that complete understanding of
protein functionality requires close consideration of the fact that many functional proteins do …

[HTML][HTML] Computational protein design with deep learning neural networks

J Wang, H Cao, JZH Zhang, Y Qi - Scientific reports, 2018 - nature.com
Computational protein design has a wide variety of applications. Despite its remarkable
success, designing a protein for a given structure and function is still a challenging task. On …

Exploring protein fitness landscapes by directed evolution

PA Romero, FH Arnold - Nature reviews Molecular cell biology, 2009 - nature.com
Directed evolution circumvents our profound ignorance of how a protein's sequence
encodes its function by using iterative rounds of random mutation and artificial selection to …

A decade and a half of protein intrinsic disorder: biology still waits for physics

VN Uversky - Protein Science, 2013 - Wiley Online Library
The abundant existence of proteins and regions that possess specific functions without
being uniquely folded into unique 3D structures has become accepted by a significant …

The immunogenicity of humanized and fully human antibodies: residual immunogenicity resides in the CDR regions

FA Harding, MM Stickler, J Razo, R DuBridge - MAbs, 2010 - Taylor & Francis
Monoclonal antibodies represent an attractive therapeutic tool as they are highly specific for
their targets, convey effector functions and enjoy robust manufacturing procedures …