Results 101 to 110 of about 2,430,102 (287)

Computational Ecology: an emerging ecological science [PDF]

Computational Ecology and Software, 2011
Computational ecology is an emerging science to integrate and synthesize computation intensive areas in ecology. It was clearly defined and described in an earlier study. Aims and scope of computational ecology are further refined in present discussion.
WenJun Zhang
doaj  

Understanding bio‐based polymers: A study of origins, properties, biodegradation and their impact on health and the environment

FEBS Open Bio, EarlyView.
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc, Blaž Stres, Mirica Karlovits, Igor Karlovits, Petra Jerič, Ondrej Panák, Anja Verbič, Blaž Likozar, Uroš Novak   +8 more
wiley   +1 more source

Computational Science in the Interconnected World: Selected papers from 2019 International Conference on Computational Science. [PDF]

J Comput Sci, 2020
Cardoso PJS, Rodrigues JMF, Monteiro J, Lam R, Krzhizhanovskaya VV, Lees MH, Dongarra J, Sloot PMA.   +7 more
europepmc   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

Materials Cloud, a platform for open computational science. [PDF]

Sci Data, 2020
Talirz L, Kumbhar S, Passaro E, Yakutovich AV, Granata V, Gargiulo F, Borelli M, Uhrin M, Huber SP, Zoupanos S, Adorf CS, Andersen CW, Schütt O, Pignedoli CA, Passerone D, VandeVondele J, Schulthess TC, Smit B, Pizzi G, Marzari N.   +19 more
europepmc   +1 more source

Computer science, computer, computational complexity

Chebyshevskii sbornik, 2021
Vladimir Nikolaevich Chubarikov, Nikolai Nikolaevich Dobrovol’skii, Irina Yurievna Rebrova, Nikolai Mihailovich Dobrovol’skii   +3 more
openaire   +2 more sources

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

Numerical algorithms for high-performance computational science. [PDF]

Philos Trans A Math Phys Eng Sci, 2020
Dongarra J, Grigori L, Higham NJ.
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source