Sparks of function by de novo protein design

AE Chu, T Lu, PS Huang - Nature biotechnology, 2024 - nature.com
Abstract Information in proteins flows from sequence to structure to function, with each step
causally driven by the preceding one. Protein design is founded on inverting this process …

Past, present, and future of CRISPR genome editing technologies

M Pacesa, O Pelea, M Jinek - Cell, 2024 - cell.com
Genome editing has been a transformative force in the life sciences and human medicine,
offering unprecedented opportunities to dissect complex biological processes and treat the …

Context-aware geometric deep learning for protein sequence design

LF Krapp, FA Meireles, LA Abriata, J Devillard… - Nature …, 2024 - nature.com
Protein design and engineering are evolving at an unprecedented pace leveraging the
advances in deep learning. Current models nonetheless cannot natively consider non …

All‐Atom Protein Sequence Design Based on Geometric Deep Learning

J Liu, Z Guo, H You, C Zhang, L Lai - Angewandte Chemie, 2024 - Wiley Online Library
Designing sequences for specific protein backbones is a key step in creating new functional
proteins. Here, we introduce GeoSeqBuilder, a deep learning framework that integrates …

Species-specific design of artificial promoters by transfer-learning based generative deep-learning model

Y Xia, X Du, B Liu, S Guo, YX Huo - Nucleic Acids Research, 2024 - academic.oup.com
Native prokaryotic promoters share common sequence patterns, but are species dependent.
For understudied species with limited data, it is challenging to predict the strength of existing …

Transferable deep generative modeling of intrinsically disordered protein conformations

G Janson, M Feig - PLOS Computational Biology, 2024 - journals.plos.org
Intrinsically disordered proteins have dynamic structures through which they play key
biological roles. The elucidation of their conformational ensembles is a challenging problem …

Int&in: A machine learning‐based web server for active split site identification in inteins

M Schmitz, JB Ballestin, J Liang, F Tomas… - Protein …, 2024 - Wiley Online Library
Inteins are proteins that excise themselves out of host proteins and ligate the flanking
polypeptides in an auto‐catalytic process called protein splicing. In nature, inteins are either …

Computational design of de novo bioenergetic membrane proteins

BJ Hardy, P Curnow - Biochemical Society Transactions, 2024 - portlandpress.com
The major energy-producing reactions of biochemistry occur at biological membranes.
Computational protein design now provides the opportunity to elucidate the underlying …

Using Machine Learning to Enhance and Accelerate Synthetic Biology

K Rai, Y Wang, RW O'Connell, AB Patel… - Current Opinion in …, 2024 - Elsevier
Engineering synthetic regulatory circuits with precise input-output behavior—a central goal
in synthetic biology—remains encumbered by the inherent molecular complexity of cells …

Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning

MVF Ferraz, WCS Adan, TE Lima, AJC Santos… - bioRxiv, 2024 - biorxiv.org
The design of proteins capable to effectively bind to specific protein targets is crucial for
developing therapies, diagnostics, and vaccine candidates for viral infections. Here, we …