プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Marco A.に依頼

Italy

Freelance Bioinformatician & AI Specialist | Expert in Python for ML, DL & Embedding-Based Analysis

プロフィール概要

Doctor in Bioinformatics and Computational Biology. Bioinformatician at Biofold group, FABIT, UniBo.

専門分野

• ☆ Microbiology
• ☆ Microbiome Research
• ☆ Next Generation Sequencing (NGS)
• ☆ Data Analysis
• ☆ Deep Learning
• ☆ Bioinformatics
• ☆ Python

サービス

• Writing

Writing Technical Writing

職務経験

Post-doc

UNIBO

5月 2024 - 現在

Bioinformatics consultant

NGB Genetics

10月 2023 - 現在

Bioinformatician

LifeGlimmer (Germany)

9月 2019 - 4月 2024

Bioinformatician

Zuse Institute Berlin

11月 2022 - 9月 2023

PhD candidate

Wageningen University & Research

10月 2019 - 8月 2023

Intern

Forschungszentrum Jülich Institute of Complex Systems

1月 2018 - 5月 2019

学歴

Doctor in Computational Biology (System and Synthetic Biology)

Wageningen University & Research

10月 2019 - 9月 2023

MSc in Bioinformatics

University of Bologna

9月 2017 - 9月 2019

BSc in Biological Sciences

University of Ferrara

2013 - 2017

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Marco Anteghini, Francesco Gualdi, Baldo Oliva (2025). How did we get there? AI applications to biological networks and sequences . Computers in Biology and Medicine.

Marco Anteghini, Vitor AP Martins dos Santos, Edoardo Saccenti (2023). PortPred: Exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates . Journal of Cellular Biochemistry.

Marco Anteghini, Vitor Martins dos Santos, Edoardo Saccenti(2021). In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins . International Journal of Molecular Sciences. 22. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 6409. {MDPI} {AG}

PREPRINT

Marco Anteghini, Tjasa Kosir, Hirak Das, Marc Pilegaard Pedersen, Silke Oeljeklaus, Vitor Martins dos Santos, Ida J. van der Klei, Bettina Warscheid (2024). Integrative Omics reveals changes in the cellular landscape of yeast without peroxisomes .

Marco Anteghini, Vitor AP Martins dos Santos, Edoardo Saccenti (2023). P-PPI: accurate prediction of peroxisomal protein-protein interactions (P-PPI) using deep learning-based protein sequence embeddings .

Marco Anteghini, Katarina Elez, Selle Bandstra, Rijuta Lamba, Lisanna Paladin (2023). Bioinforming .

Marco Anteghini, Vitor AP Martins dos Santos, Edoardo Saccenti (2023). PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates .

Marco Anteghini, Asmaa Haja, Vitor AP Martins dos Santos, Lambert Schomaker, Edoardo Saccenti (2022). OrganelX Web Server for Sub-Peroxisomal and Sub-Mitochondrial protein localisation .

Marco Anteghini, CASTRENSE SAVOJARDO, Pier Luigi Martelli, Giulia Babbi, Matteo Manfredi, Giovanni Madeo, Emidio Capriotti, Jumamurat R. Bayjanov, Margherita Mutarelli, Rita Casadio (2021). SB4ER: an ELIXIR Service Bundle for Epidemic Response .

Marco Anteghini, Vitor AP Martins dos Santos, Edoardo Saccenti (2021). In-Pero: Exploiting deep learning embeddings of protein sequences to predict the localisation of peroxisomal proteins .

Marco Anteghini, Arghadwip Paul, Suman Samantray, Birgit Strodel (2020). Thermodynamics and kinetics of the amyloid-β peptide revealed by Markov state models based on MD data in agreement with experiment .

DISSERTATION THESIS

Marco Anteghi (2023). Revealing function, interactions, and localization of peroxisomal proteins using deep learning-based approaches .

BOOK CHAPTER

Marco Anteghini, Cláudio F. Costa, Celien Lismont, Iulia Revenco, Hongli Li, Marc Fransen (2023). The Mystery behind Hydrogen Peroxide Permeation across the Peroxisomal Membrane .

Marco Anteghini, Jennifer D’Souza, Vitor A. P. Martins dos Santos, Sören Auer (2022). Easy Semantification of Bioassays .

Marco Anteghini, Jennifer D’Souza, Anita Monteverdi, Muhammad Haris, Kheir Eddine Farfar, Markus Stocker, Vitor A. P. Martins dos Santos, Sören Auer (2022). The Digitalization of Bioassays in the Open Research Knowledge Graph .

Marco Anteghini, Jennifer D’Souza, Vitor A. P. Martins dos Santos, Sören Auer(2020). Representing Semantified Biological Assays in the Open Research Knowledge Graph . 89--98Springer International Publishing

OTHER

Marco Anteghini, Arghadwip Paul, Suman Samantray, Birgit Strodel(2020). Thermodynamics and kinetics of the amyloid-β peptide revealed by Markov state models based on MD data in agreement with experiment . Cold Spring Harbor Laboratory