PhotoCaM · Photosynthetic Antennas in a Computational Microscope: Training a new generation of computational scientists
„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“
- Период
- 2024-01-01 → 2027-12-31
- Финансиране от ЕС
- 2 589 847 €
- Участници
- 12
- Схема
- HORIZON-TMA-MSCA-DN
Линиите свързват координатора с партньорите.
Накратко на български
Фотосинтетичните антени при растенията и водораслите се анализират чрез компютърни модели, за да се разбере как пигментите улавят слънчевата светлина. Това помага за подобряване на добива от посевите и създаването на по-ефективни органични слънчеви панели.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Photosynthetic Antennas in a Computational Microscope: Training a new generation of computational scientists
Photosynthesis is a natural process that relies on harvesting solar energy and transforming it into chemical energy. In addition to its ecological importance, obtaining a better molecular-level understanding of photosynthesis, particularly of the light-harvesting process, is important because it is of key significance. First, understanding the molecular basis of photosynthetic light harvesting and its regulation can advance our fundamental knowledge of nature's working principles and guide the rational design of organic solar cells. Second, controlling photosynthesis is a strategy for optimizing crop productivity using biotechnological solutions. A comprehensive understanding of photosynthesis requires strong multidisciplinary approaches, both experimental and computational. The project "Photosynthetic Antennas in a Computational Microscope: Training a New Generation of Computational Scientists” (PhotoCAM) focuses on theoretical and computational approaches, with a strong emphasis on calculating experimental observables to establish a clear connection to experiments. There are common design principles in the organization of the photosynthetic apparatus, especially in green plants and algae like diatoms. Solar energy is first captured by pigments, such as chlorophyll and carotenoids, which are bound to light-harvesting complexes. These complexes are pigment-binding proteins embedded within the thylakoid membrane, a lipid membrane. Excitation energy from absorbed photons is converted into chemical energy within the photosystems. Ηigh-resolution techniques such as X-ray crystallography and cryogenic electron microscopy have provided atomistic details of the protein complexes involved in light harvesting. This project aims to further develop, validate, and apply state-of-the-art, multi-scale methodologies that allow for simulations of photo-initiated exciton transfer in light-harvesting systems based purely on atomistic grounds. Work packages combining atomistic simulations that analyze conformational changes, quantum chemical and dynamics calculations that determine electronic excitations and their transfer in these systems, and the determination of spectroscopic properties that connect to experiments form a powerful computational toolbox for a detailed assessment of the underlying processes in light harvesting. Beyond advancing our understanding of the fascinating process of light harvesting and its variations in land and aquatic organisms, this knowledge could be applied by molecular biologists in academia and industry to modify plants and improve crop yields, helping to feed the growing global population.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Photosynthesis relies on harvesting the sun light and on transforming the solar energy into chemical energy to sustain almost all life on earth. An enhanced molecular-level understanding of photosynthesis and particularly of the light-harvesting process is of key significance: Firstly, a molecular-level understanding of solar light harvesting and how plants and other organisms achieve this is important if we want to figure out the working principles of nature. From this, we can learn design principles of (organic) solar cells. Secondly, controlling the downregulation of photosynthesis is seen as a strategy for the optimization of crop productivity especially by means of novel tools and biotechnological solutions. In the Doctoral Network “Photosynthetic Antennas in a Computational Microscope” we aim at training a new generation of computational scientists which can treat complex and interdisciplinary problems such as light harvesting on a molecular level using theoretical and computational tools. The interdisciplinary nature of the problem requires a combined knowledge from biology, chemistry, physics and computer science in order to combine state-of-the-art approaches like molecular dynamics simulations, quantum chemistry, theoretical spectroscopy and machine learning into multi-scale schemes. This joint undertaking is a unique chance in research but especially also in training young scientists in interdisciplinary teamwork, method training and high-performance computing in academic as well as non-academic settings. Aim of the Doctoral Network is a detailed molecular understanding of light harvesting from the computational point of view and especially of the downregulatory mechanisms of photosynthesis present in higher plants and diatoms. While the undertaking exclusively focuses on theoretical and computational approaches, the calculation of spectroscopic properties for a direct comparison to experimental findings is of key importance.
Оригинален текст от CORDIS (на английски).
Участници
- CONSTRUCTOR UNIVERSITY BREMEN GGMBH · BremenКоординаторГермания
- FACCTS GMBH · KOLNГермания
- FUNDACIO INSTITUT DE CIENCIES FOTONIQUES · CastelldefelsИспания
- KARLSRUHER INSTITUT FUER TECHNOLOGIE · KarlsruheГермания
- ONEANGSTROM SAS · GRENOBLEФранция
- PANEPISTIMIO PATRON · RIO PATRASГърция
- RIJKSUNIVERSITEIT GRONINGEN · GroningenНидерландия
- SATAGRO SP ZOO · WARSZAWAПолша
- UNIVERSITA DI PISA · PisaИталия
- UNIVERSITAT LINZ · LinzАвстрия
- UNIVERSITAT POLITECNICA DE CATALUNYA · BARCELONAИспания
- VILNIAUS UNIVERSITETAS · VilniusЛитва
Връзки
- Виж в CORDIS
- DOI: 10.3030/101119442
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50902d9bf&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e519518027&appId=PPGMS
Данни: CORDIS, © Европейски съюз
