Opportunities and challenges for machine learning-assisted enzyme engineering

J Yang, FZ Li, FH Arnold - ACS Central Science, 2024 - ACS Publications
Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

A guide to artificial intelligence for cancer researchers

R Perez-Lopez, N Ghaffari Laleh, F Mahmood… - Nature Reviews …, 2024 - nature.com
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …

The reactome pathway knowledgebase 2024

M Milacic, D Beavers, P Conley, C Gong… - Nucleic acids …, 2024 - academic.oup.com
Abstract The Reactome Knowledgebase (https://reactome. org), an Elixir and GCBR core
biological data resource, provides manually curated molecular details of a broad range of …

Oxidative cyclization reagents reveal tryptophan cation–π interactions

X Xie, PJ Moon, SWM Crossley, AJ Bischoff, D He, G Li… - Nature, 2024 - nature.com
Methods for selective covalent modification of amino acids on proteins can enable a diverse
array of applications, spanning probes and modulators of protein function to proteomics …

Will variants of uncertain significance still exist in 2030?

DM Fowler, HL Rehm - The American Journal of Human Genetics, 2024 - cell.com
Summary In 2020, the National Human Genome Research Institute (NHGRI) made ten" bold
predictions," including that" the clinical relevance of all encountered genomic variants will be …

[HTML][HTML] Human coronavirus HKU1 recognition of the TMPRSS2 host receptor

M McCallum, YJ Park, C Stewart, KR Sprouse… - Cell, 2024 - cell.com
The human coronavirus HKU1 spike (S) glycoprotein engages host cell surface sialoglycans
and transmembrane protease serine 2 (TMPRSS2) to initiate infection. The molecular basis …

The power and pitfalls of AlphaFold2 for structure prediction beyond rigid globular proteins

V Agarwal, AC McShan - Nature Chemical Biology, 2024 - nature.com
Artificial intelligence-driven advances in protein structure prediction in recent years have
raised the question: has the protein structure-prediction problem been solved? Here, with a …

Data-centric foundation models in computational healthcare: A survey

Y Zhang, J Gao, Z Tan, L Zhou, K Ding, M Zhou… - arXiv preprint arXiv …, 2024 - arxiv.org
The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a
wave of opportunities in computational healthcare. The interactive nature of these models …

Predicting pathogenic protein variants

JA Marsh, SA Teichmann - Science, 2023 - science.org
Many of the genetic mutations that cause disease in humans occur in protein-coding
regions. Although the capacity to sequence DNA and identify these variants has …

Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions

W Lotter, MJ Hassett, N Schultz, KL Kehl, EM Van Allen… - Cancer Discovery, 2024 - AACR
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …