Results 71 to 80 of about 733,038 (191)

DeepAptamer: Advancing high-affinity aptamer discovery with a hybrid deep learning model

Molecular Therapy: Nucleic Acids
Oligonucleotide aptamers are typically identified through a rigorous and time-consuming process known as systematic evolution of ligands by exponential enrichment (SELEX), which requires 20 to 30 iterative rounds to eliminate non/weak binding sequences ...
Xin Yang, Chi Ho Chan, Shanshan Yao, Hang Yin Chu, Minchuan Lyu, Ziqi Chen, Huan Xiao, Yuan Ma, Sifan Yu, Fangfei Li, Jin Liu, Luyao Wang, Zongkang Zhang, Bao-Ting Zhang, Lu Zhang, Aiping Lu, Yaofeng Wang, Ge Zhang, Yuanyuan Yu   +18 more
doaj   +1 more source

Peptide inhibitor of pancreatic lipase selected by phage display using different elution strategies

Journal of Lipid Research, 2005
Interference with fat hydrolysis results in the reduced use of ingested lipids. Inhibition of pancreatic lipase reduces the efficiency of fat absorption in the small intestine and thereby initiates modest long-term reduction in body weight. In an attempt
M. Lunder, T. Bratkovič, S. Kreft, B. Štrukelj   +3 more
doaj   +1 more source

Systematic Selection of High‐Affinity ssDNA Sequences to Carbon Nanotubes

Advanced Science
Single‐walled carbon nanotubes (SWCNTs) have gained significant interest for their potential in biomedicine and nanoelectronics. The functionalization of SWCNTs with single‐stranded DNA (ssDNA) enables the precise control of SWCNT alignment and the ...
Dakyeon Lee, Jaekang Lee, Woojin Kim, Yeongjoo Suh, Jiwoo Park, Sungjee Kim, YongJoo Kim, Sunyoung Kwon, Sanghwa Jeong   +8 more
doaj   +1 more source

Affinity as a tool in life science

BioTechniques, 2008
The use of affinity-based tools has become invaluable as a platform for basic research and in the development of drugs and diagnostics. Applications include affinity chromatography and affinity tag fusions for efficient purification of proteins as well ...
Mathias Uhlén
doaj   +1 more source

Engineering of bispecific affinity proteins with high affinity for ERBB2 and adaptable binding to albumin.

PLoS ONE, 2014
The epidermal growth factor receptor 2, ERBB2, is a well-validated target for cancer diagnostics and therapy. Recent studies suggest that the over-expression of this receptor in various cancers might also be exploited for antibody-based payload delivery,
Johan Nilvebrant, Mikael Åstrand, Maria Georgieva-Kotseva, Mattias Björnmalm, John Löfblom, Sophia Hober   +5 more
doaj   +1 more source

Spectral pitch distance and microtonal melodies [PDF]

, 2010
We present an experiment designed to test the effectiveness of spectral pitch distance at modeling the degree of “affinity” or “fit” of pairs of successively played tones or chords (spectral pitch distance is the cosine distance between salience-weighted,
Laney, Robin, Milne, Andrew J., Prechtl, Anthony, Sharp, David B.   +3 more
core   +1 more source

Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers

Journal of Translational Medicine
Background Asthma is a chronic respiratory disease affecting millions of people worldwide, but early detection can be challenging due to the time-consuming nature of the traditional technique.
Dejing Li, Stanley Ebhohimhen Abhadiomhen, Dongmei Zhou, Xiang-Jun Shen, Lei Shi, Yubao Cui   +5 more
doaj   +1 more source

Multi step selection in Ig H chains is initially focused on CDR3 and then on other CDR regions.

Frontiers in Immunology, 2013
Affinity maturation occurs through two selection processes: the choice of appropriate clones (clonal selection), and the internal evolution within clones, induced by somatic hyper-mutations, where high affinity mutants are selected for.
Gilad eLiberman, Jennifer eBenichou, Lea eTsaban, Jacob eGlanville, Yoram eLouzoun, Yoram eLouzoun   +5 more
doaj   +1 more source

Mobile Affinity Selection Chromatography Analysis of Therapeutic Monoclonal Antibodies. [PDF]

Anal Chem, 2023
Narsimhan ML, Kim J, Morris NA, Bower MA, Gunawardena HP, Bowen E, Regnier FE.   +6 more
europepmc   +1 more source

A Novel Strategy for Automatic Selection of Cross‐Basin Data to Improve Local Machine Learning‐Based Runoff Models

Water Resources Research
Previous studies have shown that regional deep learning (DL) models can improve runoff prediction by leveraging large hydrological datasets. However, training a DL regional model using all data without screening may degrade local performance.
Congyi Nai, Xingcai Liu, Qiuhong Tang, Liu Liu, Siao Sun, Paul P. J. Gaffney   +5 more
doaj   +1 more source