Results 281 to 290 of about 1,037,789 (311)

Isolation of an urate-binding protein by affinity chromatography

Applied Biochemistry and Biotechnology, 1982
This paper describes an affinity chromatography procedure to purify an urate binding protein from human serum. The specific ligand was 8-amino-2,6-dihydroxypurine bound to Sepharose through the amino group. The specific elution was obtained with an uric acid or allopurinol solution.
MAZZONI, MARIA ROSA, MARTINI, CLAUDIA, SEGNINI D, CIOMPI ML, LUCACCHINI, ANTONIO   +4 more
openaire   +2 more sources

Determination of binding constants by affinity chromatography

Journal of Chromatography A, 2004
This review summarizes developments in the use of affinity chromatography to characterize biospecific interactions in terms of reaction stoichiometry and equilibrium constant. In that regard, the biospecificity incorporated into the design of the experiment ensures applicability of the method regardless of the sizes of the reacting solutes.
openaire   +5 more sources

Machine Learning to Predict Binding Affinity

2019
Recent progress in the development of scientific libraries with machine-learning techniques paved the way for the implementation of integrated computational tools to predict ligand-binding affinity. The prediction of binding affinity uses the atomic coordinates of protein-ligand complexes.
Gabriela, Bitencourt-Ferreira, Walter Filgueira, de Azevedo   +1 more
openaire   +2 more sources

Androgen receptor binding affinity: a QSAR evaluation

SAR and QSAR in Environmental Research, 2011
The multiparameter formulation of the COmmon REactivity PAttern (COREPA) approach has been used to describe the structural requirements for eliciting rat androgen receptor (AR) binding affinity, accounting for molecular flexibility. Chemical affinity for AR binding was related to the distances between nucleophilic sites and structural features ...
Todorov, M., Mombelli, Enrico, Ait-Aissa, Selim, Mekenyan, O.   +3 more
openaire   +4 more sources

Decision Tree for Prediction of Binding Affinity

Recent advances in machine learning methods indicate the adequacy of these approaches to build scoring functions to predict binding affinity. Applying the scoring function to determine protein-ligand interaction is a pivotal step in the early stages of drug discovery projects, where we integrate docking results and machine learning techniques to create
Amauri Duarte, da Silva, Walter Filgueira, de Azevedo   +1 more
openaire   +2 more sources

Tuning the Affinity for Lanthanides of Calcium Binding Proteins

Biochemistry, 2003
The possibility of selectively substituting one or more lanthanides into the four canonical calcium binding sites of calcium-loaded vertebrate calmodulin (CaM) was investigated by monitoring changes in the (1)H-(15)N HSQC NMR spectra of the (15)N-enriched protein upon titration with Yb(3+). The affinity of lanthanides for both N-terminal sites I and II
BERTINI, IVANO, I. Gelis, N. Katsaros, LUCHINAT, CLAUDIO, A. Provenzani   +4 more
openaire   +2 more sources

DeepDTAF: a deep learning method to predict protein–ligand binding affinity

Briefings in Bioinformatics, 2021
Kaili Wang, Renyi Zhou, Yaohang Li
exaly  

Assessing TRAIL's Binding Affinity

Science's STKE, 2000
The TRAIL protein is a member of the tumor necrosis factor family and can associate with two receptors (DR4 and DR5) and three decoy receptors [DcR1, DcR2, and osteoprotegerin (OPG)]. TRAIL-dependent apoptosis is dependent on DR4 or DR5 expression, yet the presence of decoy receptors does not necessarily block apoptosis. Prior observations
openaire   +1 more source

AK-Score: Accurate Protein-Ligand Binding Affinity Prediction Using an Ensemble of 3D-Convolutional Neural Networks

International Journal of Molecular Sciences, 2020
Yongbeom Kwon, Woong-Hee Shin, Junsu Ko   +2 more
exaly  

Insights into changes in binding affinity caused by disease mutations in protein-protein complexes

Computers in Biology and Medicine, 2020
Sherlyn Jemimah, M Michael Gromiha
exaly