Sequencing-based analysis of microbiomes

Y Pinto, AS Bhatt - Nature Reviews Genetics, 2024 - nature.com
Microbiomes occupy a range of niches and, in addition to having diverse compositions, they
have varied functional roles that have an impact on agriculture, environmental sciences, and …

Navigating the landscape of enzyme design: from molecular simulations to machine learning

J Zhou, M Huang - Chemical Society Reviews, 2024 - pubs.rsc.org
Global environmental issues and sustainable development call for new technologies for fine
chemical synthesis and waste valorization. Biocatalysis has attracted great attention as the …

Protein remote homology detection and structural alignment using deep learning

T Hamamsy, JT Morton, R Blackwell, D Berenberg… - Nature …, 2024 - nature.com
Exploiting sequence–structure–function relationships in biotechnology requires improved
methods for aligning proteins that have low sequence similarity to previously annotated …

[HTML][HTML] Are protein language models the new universal key?

K Weissenow, B Rost - Current Opinion in Structural Biology, 2025 - Elsevier
Protein language models (pLMs) capture some aspects of the grammar of the language of
life as written in protein sequences. The so-called pLM embeddings implicitly contain this …

Widespread Distribution of the arsO Gene Confers Bacterial Resistance to Environmental Antimony

ST Tang, XW Song, J Chen, J Shen, B Ma… - … science & technology, 2023 - ACS Publications
Microbial oxidation of environmental antimonite (Sb (III)) to antimonate (Sb (V)) is an
antimony (Sb) detoxification mechanism. Ensifer adhaerens ST2, a bacterial isolate from a …

Targeted isolation of Methanobrevibacter strains from fecal samples expands the cultivated human archaeome

S Duller, S Vrbancic, Ł Szydłowski, A Mahnert… - Nature …, 2024 - nature.com
Archaea are vital components of the human microbiome, yet their study within the
gastrointestinal tract (GIT) is limited by the scarcity of cultured representatives. Our study …

Insights into the inner workings of transformer models for protein function prediction

M Wenzel, E Grüner, N Strodthoff - Bioinformatics, 2024 - academic.oup.com
Motivation We explored how explainable artificial intelligence (XAI) can help to shed light
into the inner workings of neural networks for protein function prediction, by extending the …

Adaptation to space conditions of novel bacterial species isolated from the International Space Station revealed by functional gene annotations and comparative …

LM Szydlowski, AA Bulbul, AC Simpson, DE Kaya… - Microbiome, 2024 - Springer
Background The extreme environment of the International Space Station (ISS) puts selective
pressure on microorganisms unintentionally introduced during its 20+ years of service as a …

RCSB Protein Data Bank: visualizing groups of experimentally determined PDB structures alongside computed structure models of proteins

J Segura, Y Rose, C Bi, J Duarte, SK Burley… - Frontiers in …, 2023 - frontiersin.org
Recent advances in Artificial Intelligence and Machine Learning (eg., AlphaFold,
RosettaFold, and ESMFold) enable prediction of three-dimensional (3D) protein structures …

Semantical and geometrical protein encoding toward enhanced bioactivity and thermostability

Y Tan, B Zhou, L Zheng, G Fan, L Hong - bioRxiv, 2023 - biorxiv.org
Protein engineering is a pivotal aspect of synthetic biology, involving the modification of
amino acids within existing protein sequences to achieve novel or enhanced functionalities …