Results 71 to 80 of about 2,556,924 (316)

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

The anabolic steroid stanozolol is a potent inhibitor of human MutT homolog 1

open access: yesFEBS Letters, EarlyView.
MutT homolog 1 (MTH1) is a member of the NUDIX superfamily of enzymes and is an anticancer drug target. We show that stanozolol (Stz), an anabolic steroid, is an unexpected nanomolar inhibitor of MTH1. The X‐ray crystal structure of the human MTH1–Stz complex reveals a unique binding scaffold that could be utilized for future inhibitor development ...
Emma Scaletti Hutchinson   +7 more
wiley   +1 more source

A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback–Leibler Divergence, a Two-Sample Kolmogorov–Smirnov Test and a Statistical Hidden Markov Model

open access: yesEntropy, 2019
Composite structures undergo a gradual damage evolution from initial inter-fibre cracks to extended damage up to failure. However, most composites could remain in service despite the existence of damage. Prerequisite for a service extension is a reliable
Angelos Filippatos   +3 more
doaj   +1 more source

Mycobacterium tuberculosis sulfurtransferase SseA is activated by its neighboring gene product Rv3284

open access: yesFEBS Letters, EarlyView.
Tuberculosis remains a global health challenge and new therapeutic targets are required. Here, we characterized SseA, a sulfurtransferase from Mycobacterium tuberculosis involved in macrophage infection, and its interaction with the newly identified protein SufEMtb that activates SseA enzymatic activity.
Giulia Di Napoli   +10 more
wiley   +1 more source

Non-Linear Dynamics Analysis of Protein Sequences. Application to CYP450

open access: yesEntropy, 2019
The nature of changes involved in crossed-sequence scale and inner-sequence scale is very challenging in protein biology. This study is a new attempt to assess with a phenomenological approach the non-stationary and nonlinear fluctuation of changes ...
Xavier F. Cadet   +3 more
doaj   +1 more source

Aβ42 promotes the aggregation of α‐synuclein splice isoforms via heterogeneous nucleation

open access: yesFEBS Letters, EarlyView.
The aggregation of amyloid‐β (Aβ) and α‐synuclein (αSyn) is associated with Alzheimer's and Parkinson's diseases. This study reveals that Aβ aggregates serve as potent nucleation sites for the aggregation of αSyn and its splice isoforms, shedding light on the intricate interplay between these two pathogenic proteins.
Alexander Röntgen   +2 more
wiley   +1 more source

Inferring joint sequence-structural determinants of protein functional specificity

open access: yeseLife, 2018
Residues responsible for allostery, cooperativity, and other subtle but functionally important interactions remain difficult to detect. To aid such detection, we employ statistical inference based on the assumption that residues distinguishing a protein ...
Andrew F Neuwald   +2 more
doaj   +1 more source

Archaeal protein containing domain of unknown function 2193 undergoes oligomeric reconfiguration upon iron–sulfur cluster binding

open access: yesFEBS Letters, EarlyView.
This work presents the characterization of MvoDUF2193, a Methanococcus voltae (Mvo) protein from the domain of unknown function (DUF) 2193 family. We demonstrate that MvoDUF2193 binds a single [4Fe–4S] cluster per subunit and that cluster occupancy regulates the transition from an apo tetramer to a [4Fe–4S] monomeric form. This structural transition is
Emily M. Dieter   +8 more
wiley   +1 more source

Learning protein constitutive motifs from sequence data

open access: yeseLife, 2019
Statistical analysis of evolutionary-related protein sequences provides information about their structure, function, and history. We show that Restricted Boltzmann Machines (RBM), designed to learn complex high-dimensional data and their statistical ...
Jérôme Tubiana   +2 more
doaj   +1 more source

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