Results 51 to 60 of about 6,076,909 (260)

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

"In silico" prediction of drug transport across physiological barriers [PDF]

, 2011
Physiological barriers maintain and safeguard homeostasis of certain body compartments by an increased resistance against free diffusion. Distribution and pharmacokinetics of drugs can be altered as well, if they have to cross these barriers in order to ...
Suenderhauf, Claudia
core   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

DTiGEMS+: drug-target interaction prediction using graph embedding, graph mining, and similarity-based techniques. [PDF]

, 2019
In silico prediction of drug-target interactions is a critical phase in the sustainable drug development process, especially when the research focus is to capitalize on the repositioning of existing drugs.
Olayan, Rawan S, Gao, Xin, Ashoor, Haitham, Thafar, Maha A., Albaradei, Somayah, Bajic, Vladimir B, Bajic, Vladimir B., Thafar, Maha A, Olayan, Rawan S., Gojobori, Takashi, Essack, Magbubah   +10 more
core   +1 more source

DTITR: End-to-end drug–target binding affinity prediction with transformers

Computers in Biology and Medicine, 2022
The accurate identification of Drug-Target Interactions (DTIs) remains a critical turning point in drug discovery and understanding of the binding process. Despite recent advances in computational solutions to overcome the challenges of in vitro and in vivo experiments, most of the proposed in silico-based methods still focus on binary classification ...
Nelson R. C. Monteiro, José Luís Oliveira, Joel P. Arrais   +2 more
openaire   +3 more sources

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

RNAhybrid: microRNA target prediction easy, fast, and flexible [PDF]

, 2006
Krüger J, Rehmsmeier M. RNAhybrid: microRNA target prediction easy, fast, and flexible. Nucleic Acids Research.
Krüger, Jan, Rehmsmeier, Marc
core   +1 more source

DVNDTA: a dual virtual node based heterogeneous interaction model for accurate prediction of drug-target affinity

BMC Bioinformatics
Efficient prediction of drug-target affinity (DTA) is crucial for accelerating drug discovery. Recently, deep learning approaches leveraging 3D complexes have shown strong potential for drug-target affinity prediction.
Guoqiang Zhou, Ben Li, Weifeng Zhang, Shudi Bao, Huaming Chen, Haoran Li, Huan Wang, Jiacong Mi, Jun Shen   +8 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Computational approaches for investigating protein-ligand interactions - towards an in-depth understanding of the dengue virus methyltransferase [PDF]

, 2013
Interactions between proteins and their ligands play crucial roles in many biological processes, such as metabolism, signaling, transport, regulation or molecular recognition. Understanding the molecular basis of protein-ligand interactions is thus of
Schmidt, Tobias Benjamin
core   +1 more source