Computational optimization of cell culture media for cultured meat production

Alternative Proteins (AP), particularly Cultivated Meat (CM), offer a promising avenue towards sustainability by providing animal protein alternatives that require fewer resources and produce fewer negative externalities. This project presents a novel approach to identifying plant and fungal pept...

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Main Author: Chia, Shawn
Other Authors: -
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
QSO
PCA
Online Access:https://hdl.handle.net/10356/176184
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1761842024-05-20T15:33:11Z Computational optimization of cell culture media for cultured meat production Chia, Shawn - School of Biological Sciences Bioinformatics Institute (BII), A*STAR Chiam Keng Hwee chiamkh@bii.a-star.edu.sg Other Cultivated meat Computational optimization Cultured meat Quasi-sequence order QSO Principal component analysis PCA Centroid clustering Euclidean distances Cell culture media Growth media Growth factor Alternative Proteins (AP), particularly Cultivated Meat (CM), offer a promising avenue towards sustainability by providing animal protein alternatives that require fewer resources and produce fewer negative externalities. This project presents a novel approach to identifying plant and fungal peptides as potential replacements for animal-derived growth factors in CM production. Through a computational screening prediction algorithm where peptides are encoded using the Quasi Sequence Order (QSO) effect to preserve the directionality of protein sequence descriptors, peptides from commonly cultivated plants and fungi were compared to growth factors from three targeted animal species: chicken, cow, and pig. The project identified four potential candidates: ITPK4_SOYBN (Inositol-tetrakisphosphate 1-kinase 4) from soybean for chicken growth factor replacement, A0A3B5Z4L3_WHEAT (Acireductone dioxygenase) from wheat for cow growth factor replacement, A0A3Q7F8S5_SOLLC (Peroxidase) from tomato for pig growth factor replacement, and GHD7_ORYSJ (Transcription factor GHD7) from rice as a replacement across targeted animal species. These peptides possess high sequence similarity to animal growth factors, suggesting their potential as non-animal alternatives for CM growth media. While further validation and refinement are required, this research lays the groundwork for leveraging plant and fungal resources to drive the development of sustainable food systems and to accelerate the commercialization of CM. Bachelor's degree 2024-05-14T05:20:52Z 2024-05-14T05:20:52Z 2024 Final Year Project (FYP) Chia, S. (2024). Computational optimization of cell culture media for cultured meat production. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176184 https://hdl.handle.net/10356/176184 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Other
Cultivated meat
Computational optimization
Cultured meat
Quasi-sequence order
QSO
Principal component analysis
PCA
Centroid clustering
Euclidean distances
Cell culture media
Growth media
Growth factor
spellingShingle Other
Cultivated meat
Computational optimization
Cultured meat
Quasi-sequence order
QSO
Principal component analysis
PCA
Centroid clustering
Euclidean distances
Cell culture media
Growth media
Growth factor
Chia, Shawn
Computational optimization of cell culture media for cultured meat production
description Alternative Proteins (AP), particularly Cultivated Meat (CM), offer a promising avenue towards sustainability by providing animal protein alternatives that require fewer resources and produce fewer negative externalities. This project presents a novel approach to identifying plant and fungal peptides as potential replacements for animal-derived growth factors in CM production. Through a computational screening prediction algorithm where peptides are encoded using the Quasi Sequence Order (QSO) effect to preserve the directionality of protein sequence descriptors, peptides from commonly cultivated plants and fungi were compared to growth factors from three targeted animal species: chicken, cow, and pig. The project identified four potential candidates: ITPK4_SOYBN (Inositol-tetrakisphosphate 1-kinase 4) from soybean for chicken growth factor replacement, A0A3B5Z4L3_WHEAT (Acireductone dioxygenase) from wheat for cow growth factor replacement, A0A3Q7F8S5_SOLLC (Peroxidase) from tomato for pig growth factor replacement, and GHD7_ORYSJ (Transcription factor GHD7) from rice as a replacement across targeted animal species. These peptides possess high sequence similarity to animal growth factors, suggesting their potential as non-animal alternatives for CM growth media. While further validation and refinement are required, this research lays the groundwork for leveraging plant and fungal resources to drive the development of sustainable food systems and to accelerate the commercialization of CM.
author2 -
author_facet -
Chia, Shawn
format Final Year Project
author Chia, Shawn
author_sort Chia, Shawn
title Computational optimization of cell culture media for cultured meat production
title_short Computational optimization of cell culture media for cultured meat production
title_full Computational optimization of cell culture media for cultured meat production
title_fullStr Computational optimization of cell culture media for cultured meat production
title_full_unstemmed Computational optimization of cell culture media for cultured meat production
title_sort computational optimization of cell culture media for cultured meat production
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176184
_version_ 1814047435682480128