Results 61 to 70 of about 1,607,008 (329)
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
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
Predicting DNA-binding sites of proteins from amino acid sequence
Background Understanding the molecular details of protein-DNA interactions is critical for deciphering the mechanisms of gene regulation. We present a machine learning approach for the identification of amino acid residues involved in protein-DNA ...
Wu Feihong+5 more
doaj +1 more source
Distributed Representation of Protein Sequence Based on Multi-Alignment Results
Protein sequence representation is a key problem for protein studies, especially for those sequence-based models. In this paper, a distributed representation model of protein sequence is proposed, which involves evolutionary information by introducing ...
Siqi Wang, Liu He, Shi Cheng, Xiaohu Shi
doaj +1 more source
The anabolic steroid stanozolol is a potent inhibitor of human MutT homolog 1
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
Isolation and characterization of cDNA clones corresponding to two different human apoC-III alleles.
We have recently reported that the human apolipoprotein A-I (apoA-I) and apolipoprotein C-III (apoC-III) genes are physically linked and that the presence of a DNA insertion in the apoA-I gene is correlated with apoA-I-apoC-III deficiency in patients ...
S K Karathanasis+2 more
doaj
Amino acid impact factor. [PDF]
Amino acid mutations in proteins are random and those mutations which are beneficial or neutral survive during the course of evolution. Conservation or co-evolution analyses are performed on the multiple sequence alignment of homologous proteins to ...
C K Sruthi, Meher Prakash
doaj +1 more source
The Calbindin-D28k binding site on inositol monophosphatase may allow inhibition independent of the lithium site of action [PDF]
Among numerous reported biochemical effects the lithium-inhibitable enzyme inositol-monophosphatase (IMPase) remains a viable target for lithium's therapeutic mechanism of action.
Amnon Hoffman+8 more
core +1 more source
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
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology.
Gromiha M Michael, Taguchi Y-h
doaj +1 more source
Exploring the Levinthal limit in protein folding [PDF]
According to the thermodynamic hypothesis, the native state of proteins is uniquely defined by their amino acid sequence. On the other hand, according to Levinthal, the native state is just a local minimum of the free energy and a given amino acid ...
B Fazi+23 more
core +1 more source