Results 91 to 100 of about 2,729,950 (336)

GraphATT-DTA: Attention-Based Novel Representation of Interaction to Predict Drug-Target Binding Affinity

open access: yesBiomedicines, 2022
Drug-target binding affinity (DTA) prediction is an essential step in drug discovery. Drug-target protein binding occurs at specific regions between the protein and drug, rather than the entire protein and drug.
Haelee Bae, Hojung Nam
doaj   +1 more source

Targeting GLI factors to inhibit the Hedgehog pathway [PDF]

open access: yes, 2015
Hedgehog (Hh) signaling has emerged in recent years as an attractive target for anticancer therapy because its aberrant activation is implicated in several cancers. Major progress has been made in the development of SMOOTHENED (SMO) antagonists, although
Alfonsi, Romina   +4 more
core   +2 more sources

CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction

open access: yesBMC Bioinformatics
Accurate and efficient prediction of drug-target interaction (DTI) is critical to advance drug development and reduce the cost of drug discovery. Recently, the employment of deep learning methods has enhanced DTI prediction precision and efficacy, but it
Xiaoting Zeng, Weilin Chen, Baiying Lei
semanticscholar   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction

open access: yesMolecules, 2023
The prediction of drug-target interactions (DTIs) is a vital step in drug discovery. The success of machine learning and deep learning methods in accurately predicting DTIs plays a huge role in drug discovery.
Azwaar Khan Azlim Khan   +1 more
doaj   +1 more source

Elucidating Signal Transduction Modulatory Drug Target Network of Colon Cancer: A Network Biology Approach [PDF]

open access: yes, 2010
Latest evaluation and validation of cancer drugs and their targets has demonstrated the lack and inadequate development of new and better drugs, based on available protocols.
Biplab Bhattacharjee   +5 more
core   +1 more source

Emerging role of nuclear factor erythroid 2-related factor 2 in the mechanism of action and resistance to anticancer therapies [PDF]

open access: yes, 2019
Nuclear factor E2-related factor 2 (NRF2), a transcription factor, is a master regulator of an array of genes related to oxidative and electrophilic stress that promote and maintain redox homeostasis. NRF2 function is well studied in in vitro, animal and
Deeni, Yusuf Y.   +3 more
core   +3 more sources

Reciprocal control of viral infection and phosphoinositide dynamics

open access: yesFEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

open access: yesBMC Bioinformatics
Background Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target.
Xin Zeng   +5 more
doaj   +1 more source

Identification of Potential Driver Genes and Pathways Based on Transcriptomics Data in Alzheimer's Disease

open access: yesFrontiers in Aging Neuroscience, 2022
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. To identify AD-related genes from transcriptomics and help to develop new drugs to treat AD.
Liang-Yong Xia   +3 more
doaj   +1 more source

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