. | . |
Scientists closer to creating 3D computer model of a cell by Brooks Hays Lawrence, Kan. (UPI) Oct 5, 2016
The creation of 3D computer model of a human cell would be a monumental breakthrough for biological research and medical science. According to a new study, advancements in molecular biology and computer science suggest such a breakthrough isn't far off. "Recently, there has been tremendous progress in biomolecular modeling and advances at understanding life at the molecular level," Ilya Vakser, professor of computational biology and molecular biosciences at the University of Kansas, said in a news release. Vakser is one of the co-authors of the new study, published this week in the Journal of Molecular Biology. "Now, the focus is shifting to larger systems -- up to the level of the entire cell," Vakser said. "We're trying to capture this emerging milestone development in computational structural biology, which is the tectonic shift from modeling individual biomolecular processes to modeling the entire cell." While some researchers have attempted to build automated 3D whole cell models, most models focus on specific intercellular processes and components -- protein complexes, protein interactions, membranes, chromosomes, thermodynamic and kinetic systems. Researchers believe they're getting closer to fitting these individual models together in a coherent way. "A lot of techniques that are required for this are already available -- it's just a matter of putting them all together in a coherent strategy to address this problem," Vakser said. "It's hard because we're just beginning to understand the principal mechanisms of life at the molecular level -- it looks extremely complicated but doable, so we're moving very fast -- not only in our ability to understand how it works at the molecular level but to model it." The most obvious benefit of an accurate 3D cell model would be the ability to study the underlying mechanisms of human disease and to test the efficacy of treatments. "It will give us ... the ability to understand mechanisms of drug action, which will be a tremendous boost to our efforts at drug design" Vakser said. "It will help us create better drug candidates, which will potentially shorten the path to new drugs." While scientists hope to soon model human cells, the digital replication of a simpler cell -- like prokaryotic cells -- remains the first priority. "We're trying to cut our teeth on the smallest possible cellular organisms first, then will extrapolate into more complicated cells," Vakser concluded.
Related Links Space Technology News - Applications and Research
|
|
The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us. |