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iDEC 2024 | iTidetron

About iTidetron

iTidetron is a multidisciplinary team from Tidetron Bioworks Technology, based in Guangzhou, China. Our team consists of researchers at various stages of their careers, bringing together expertise from computational biology, biotechnology, and experimental research. Our mission is to advance the academic and industrial applications of directed evolution and deep learning technologies in synthetic biology, with a particular focus on bio-functional peptides. By integrating cutting-edge computational approaches and innovative lab techniques, we aim to push the boundaries of protein engineering and peptide discovery, making significant contributions to biotechnology and medicine.

Project Mission and Vision

At iTidetron, our mission is to harness the power of directed evolution and deep learning to revolutionize the discovery and engineering of bio-functional peptides. By combining computational biology with experimental innovation, we strive to create advanced solutions that address critical challenges in biotechnology, from antimicrobial peptide discovery to improving industrial processes. We aim to lead the way in developing more efficient, sustainable, and scalable methods for peptide-based therapies and applications, with a particular focus on enhancing human health and industrial productivity.

Our vision for this project is to transform the landscape of antimicrobial peptide (AMP) discovery and bio-functional peptide engineering through the integration of deep learning and directed evolution technologies. We aim to set a new standard for AMP prediction and synthesis by developing innovative computational models, named COMDEL2 and high-throughput experimental approaches.

COMDEL2

By leveraging these advanced tools, we aspire to improve the efficiency and accuracy of identifying peptides with potent antimicrobial properties, such as those from Lactobacillus plantarum, for real-world applications in biotechnology, medicine, and industrial-scale production. Ultimately, we seek to contribute to the development of novel therapeutics and biotechnological solutions that address pressing global health and industrial challenges.

Team members

Collabration: Ao Jiang (Advisor).
Experiment: Xuemei Zhao, Shijing Lai, Yucheng Hu, Jinde Chen, Qiuru Zhong, Qing He, Min Yang, YiYang He.
Computational Biology: Yu Zhang (Team Leader), Qijun Ge, Houliang Lin.
FADS: Yang Zhang.
Mentor: Yirui Wu.

Tidetron Bioworks:

https://www.tidetronbio.com/en/

Web server of COMDEL2, the deep-learning based BioPep identifier:

https://ai.tidetronbio.com:7782/COMDEL2.html