Results 81 to 90 of about 114,349,436 (308)

in-silico-RENAMED-TIPS.tree

, 2014
In silico tree with tips renamed to full species ...
Brant C. Faircloth (143432), Michael G. Branstetter (609954), White, Noor D., Faircloth, Brant C., Noor D. White (3248478), Brady, Séan G., Séan G. Brady (3248475), Branstetter, Michael G.   +7 more
core   +1 more source

In silico experimental modeling of cancer treatment [PDF]

, 2012
In silico experimental modeling of cancer involves combining findings from biological literature with computer-based models of biological systems in order to conduct investigations of hypotheses entirely in the computer laboratory.
Trisilowati, Mallet, Daniel G.
core   +2 more sources

Estimation of Particle Deposition in the Airways from Different Inhaler Formulations Using an In Silico Model

KONA Powder and Particle Journal, 2014
The objective of these studies was to evaluate the use of an in silico model for predicting lung deposition of inhaled therapeutic aerosols.
Hugh D.C. Smyth, Ted B. Martonen, Kristin K. Isaacs, Anthony J. Hickey   +3 more
doaj   +1 more source

In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols

FEBS Open Bio, EarlyView.
Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton, Fang Zhao, Reeta Davis, Meg Walsh, Kevin E O'Connor, David O'Connell, Tanja Narancic   +6 more
wiley   +1 more source

Protein folding in silico : protein folding versus protein structure prediction /

, 2012
Protein folding is a process by which a protein structure assumes its functional shape of conformation, and has been the subject of research since the publication of the first software tool for protein structure prediction.
Roterman-Konieczna, Irena,editor.
core  

Computational analysis of non-synonymous SNPs in the human LCN2 gene

Egyptian Journal of Medical Human Genetics
Background Lipocalin-2 (LCN2), a neutrophil gelatinase-associated protein, plays an important role in iron homeostasis, infection, and inflammation. Polymorphism in the LCN2 gene is linked to various diseases such as cardiovascular disease, renal damage,
Kaniha Sivakumar, Usha Subbiah
doaj   +1 more source

Identification and characterisation of calcitonin receptor isoforms expressed in glioblastoma derived glioma stem and U‐87 MG cells

FEBS Open Bio, EarlyView.
Glioblastoma cells express calcitonin receptor variants (CT receptor isoforms) that may help them survive stress. Using qPCR, transcript‐specific long‐read nanopore sequencing, immunofluorescence co‐localisation and comparative sequence analysis, this study identifies a novel alternatively spliced CALCR transcript that encodes the CTb receptor isoform ...
Pragya Gupta, Sebastian GB Furness, Tahereh Gharbi, Ric De Paoli‐Iseppi, Shweta S. Joshi, Michael Clark, David L. Hare, Peter Wookey   +7 more
wiley   +1 more source

Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK‐Based Approaches

Clinical and Translational Science
A successful drug needs to combine several properties including high potency and good pharmacokinetic (PK) properties to sustain efficacious plasma concentration over time.
Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, Hermann Rapp, Christofer S. Tautermann, Pavel Balazki, Miha Skalic, Jens M. Borghardt, Lina Humbeck   +8 more
doaj   +1 more source

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

FEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey, Miriam Livier Llamas‐García, Gabriela M. Montero‐Morán, Leticia Santos, Samuel Lara‐González   +4 more
wiley   +1 more source

The recent progress of deep-learning-based in silico prediction of drug combination

, 2023
Drug combination therapy has become a common strategy for the treatment of complex diseases. There is an urgent need for computational methods to efficiently identify appropriate drug combinations owing to the high cost of experimental screening.
Liu, H, Haoyang Liu, Ran, T, Yuedong Yang, Yang, Y, Ting Ran, Hongming Chen, Chen, H, Zhiguang Fan, Jie Lin, Fan, Z, Lin, J   +11 more
core   +1 more source