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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Докторантска мрежа2015–2019

SyMBioSys · Systematic Models for Biological Systems Engineering Training Network

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2015-09-01 → 2019-08-31
Финансиране от ЕС
3 805 423 €
Участници
13
Схема
MSCA-ITN-ETN

Линиите свързват координатора с партньорите.

Накратко на български

Математическите модели на биологични системи помагат за описанието на процеси като човешкия метаболизъм. Те позволяват по-точно да се предвиди поведението на биологичните мрежи и да се подберат подходящи методи за лечение.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Systematic Models for Biological Systems Engineering Training Network

Mathematical, computational models are central in biomedical and biological systems engineering; models enable (i) the mechanistic justification of experimental results via current knowledge and (ii) the generation of new testable hypotheses or novel intervention methods. SyMBioSys is a joint academic/industrial training initiative supporting the convergence of engineering, biological and computational sciences. The consortium's mutual goal is developing a new generation of innovative and entrepreneurial early-stage researchers (ESRs) to develop and exploit cutting-edge dynamic (kinetic) mathematical models for biomedical and biotechnological applications. 1. Developing new algorithms and methods for reverse engineering and identifying dynamic models of biosystems and bioprocesses. The progress made towards this objective has resulted in a pipeline to build kinetic models for human metabolism using a thermodynamic-based curation of the genome-scale model (GEM) Recon 2. 2. Developing new model- based optimization algorithms for exploiting dynamic models of biological systems (e.g. predicting behaviour in biological networks, identifying design principles and selecting optimal treatment intervention). The progress made towards this objective has resulted in the reformulation of PHONEMeS as an Integer Linear Program (ILP) that is orders of magnitude more efficient than the original one, enabling larger and more sophisticated analysis 3. Developing software tools, implementing the preceding novel algorithms, using state-of-the-art software engineering practices to ensure usability in biological systems engineering research and practice. The progress made towards this objective includes the stretch move algorithm, which was implemented within gPROMS, the software developed by PSE. Results were presented during the poster sessions of the Advanced Process Modelling Forum 2017 and Research Day UK 2017, organized by Process Systems Enterprise Ltd. and Imperial College London respectively. 4. Applying the new algorithms and software tools to biomedical and biological test cases. The progress made towards this objective in the context of biomarker discovery (using CKD as case study) has been identified as “promising” as one review entitled “Mechanism-Based Biomarker Discovery”, which has already been published in Drug Discovery Today (doi: 10.1016/j.drudis.2017.04.013).

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Mathematical, computational models are central in biomedical and biological systems engineering; models enable (i) mechanistically justifying experimental results via current knowledge and (ii) generating new testable hypotheses or novel intervention methods. SyMBioSys is a joint academic/industrial training initiative supporting the convergence of engineering, biological and computational sciences. The consortium's mutual goal is developing a new generation of innovative and entrepreneurial early-stage researchers (ESRs) to develop and exploit cutting-edge dynamic (kinetic) mathematical models for biomedical and biotechnological applications. SyMBioSys integrates: (i) six academic beneficiaries with a strong record in biomedical and biological systems engineering research, these include four universities and two research centres; (ii) four industrial beneficiaries including key players in developing simulation software for process systems engineering, metabolic engineering and industrial biotechnology; (iii) three partner organisations from pharmaceutical, biotechnological and entrepreneurial sectors. SyMBioSys is committed to supporting the establishment of a Biological Systems Engineering research community by stimulating programme coordination via joint activities. The main objectives of this initiative are: * Developing new algorithms and methods for reverse engineering and identifying dynamic models of biosystems and bioprocesses* Developing new model-based optimization algorithms for exploiting dynamic models of biological systems (e.g. predicting behavior in biological networks, identifying design principles and selecting optimal treatment intervention) * Developing software tools, implementing the preceding novel algorithms, using state-of-the-art software engineering practices to ensure usability in biological systems engineering research and practice * Applying the new algorithms and software tools to biomedical and biological test cases.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз