Results 91 to 100 of about 159,394 (268)

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

DEDTI versus IEDTI: efficient and predictive models of drug-target interactions

Scientific Reports, 2023
Drug repurposing is an active area of research that aims to decrease the cost and time of drug development. Most of those efforts are primarily concerned with the prediction of drug-target interactions.
Arash Zabihian, Faeze Zakaryapour Sayyad, Seyyed Morteza Hashemi, Reza Shami Tanha, Mohsen Hooshmand, Sajjad Gharaghani   +5 more
doaj   +1 more source

How Can Network-Pharmacology Contribute to Antiepileptic Drug Development? [PDF]

, 2014
Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of exquisitely selective drugs. What is
Di Ianni, Mauricio Emiliano, Talevi, Alan   +1 more
core   +1 more source

Engineering tandem VHHs to target different epitopes to enhance antibody‐dependent cell‐mediated cytotoxicity

FEBS Open Bio, EarlyView.
Tandem VHH targeting distinct EGFR epitopes were engineered into a monovalent bispecific antibody (7D12‐EGA1‐Fc) with more potent ADCC without increasing affinity to EGFR. Structural modeling of 7D12‐EGA1‐Fc showed cross‐linking of separate EGFR domains to enhance CD16a engagement on NK cells.
Yuqiang Xu, Hao Jiang, Limin Chen, Fulai Zhou, Ying Jin, Mark L. Chiu   +5 more
wiley   +1 more source

dUTPase is essential in zebrafish development and possesses several single‐nucleotide variants with pronounced structural and functional consequences

FEBS Open Bio, EarlyView.
dUTPases are involved in balancing the appropriate nucleotide pools. We showed that dUTPase is essential for normal development in zebrafish. The different zebrafish genomes contain several single‐nucleotide variations (SNPs) of the dut gene. One of the dUTPase variants displayed drastically lower protein stability and catalytic efficiency as compared ...
Viktória Perey‐Simon, Angéla Békesi, Latifa Kazzazy, Jázmin Mihály, Máté Varga, Beáta G. Vértessy, Kinga Nyíri   +6 more
wiley   +1 more source

The cooperative regulation of miR‐221 by APE1 and AUF1 impacts p27Kip1 defining a miR signature relevant for cervical cancer

FEBS Open Bio, EarlyView.
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti, Nicolò Gualandi, Gianluca Tell, Giulia Antoniali   +3 more
wiley   +1 more source

DrugForm-DTA: Towards real-world drug-target binding affinity model

Computational and Structural Biotechnology Journal
Drug-target affinity (DTA) prediction is a fundamental challenge in drug discovery. Computational methods for predicting DTA can greatly assist drug design by narrowing the search space and reducing the number of protein-ligand complexes with low ...
Ivan Khokhlov, Anna Tashchilova, Nikolai Bugaev-Makarovskiy, Olga Glushkova, Vladimir Yudin, Anton Keskinov, Sergey Yudin, Dmitry Svetlichnyy, Veronika Skvortsova   +8 more
doaj   +1 more source

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

, 2014
Dyadic prediction methods operate on pairs of objects (dyads), aiming to infer labels for out-of-sample dyads. We consider the full and almost full cold start problem in dyadic prediction, a setting that occurs when both objects in an out-of-sample dyad ...
A. Ben-Hur, B. Schölkopf, C.D. Martin, C.F. Loan Van, F. Bauer, I. Steinwart, L. Baldassarre, L. Jacob, L. Lo Gerfo, M. Gönen, M. Schrynemackers, M. Álvarez, M.I. Davis, R. Raymond, S. Oyama, S.J. Pan, T. Pahikkala, T. Pahikkala, T. Pahikkala, T. Pahikkala, W. Waegeman, Y. Koren, Y. Park   +22 more
core   +1 more source

CASTER-DTA: equivariant graph neural networks for predicting drug–target affinity

Briefings in Bioinformatics
Abstract Accurately determining the binding affinity of a ligand with a protein is important for drug design, development, and screening. With the advent of accessible protein structure prediction methods such as AlphaFold, predicted protein 3D structures are readily available; however, scalable methods for predicting binding affinity
Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie   +2 more
openaire   +3 more sources

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source