📑Machine Learning-Guided Protein Engineering

📗 Journal: ACS catalysis (I.F.=12.9)
🗓Publish year: 2023

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📲Channel: @Bioinformatics
#protein #ml

📄A Literature Review of Gene Function Prediction by Modeling Gene Ontology

📓 Journal: Frontiers in Genetics (I.F.=3.7)
🗓Publish year: 2020

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📲Channel: @Bioinformatics
#review #gene #ontology

📽 Machine Learning and Artificial Intelligence Tools to Advance Genomic Translational Research
💥Recorded open session from NIH National Human Genome Research Institute

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📲Channel: @Bioinformatics
#video #ml #ai #genomic

📑Recent development of machine learning models for the prediction of drug-drug interactions

📕 Journal: Korean Journal of Chemical Engineering (I.F.=2.7)
🗓Publish year: 2023

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📲Channel: @Bioinformatics
#review #drug #ml

🎓Modeling protein sequences, structures and functions with deep neural networks

📕PhD Thesis from University of Illinois at Urbana-Champaign

🗓Publish year: 2023

📎 Study thesis

📲Channel: @Bioinformatics
#thesis #deep_learning #protein

📃 Computational prediction of disordered binding regions

📘Journal: Computational and Structural Biotechnology Journal (I.F.=6)
🗓Publish year: 2023

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📲Channel: @Bioinformatics
#review #biniding

🚀 International GROMACS Workshop: Post MD Analysis Methods & Tools on Feb 17-18, 2024!

📅 Key Dates:
Early Bird Deadline: Feb 10, 2024 (€25 / ₹1500)
Registration Ends: Feb 15, 2024 (€30 / ₹2000)

🌟 Highlights:
MD Techniques
MM-GPSA & MM-PBSA
Principal Component Analysis
Demos & More

💡 Benefits:
Certificate
Recorded Videos
Live Support

💼 For those with basic GROMACS experience.

💫 Register now at our site: https://www.nyberman.com

Stay connected:
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📲Channel: @Bioinformatics

🗞ChatGPT in healthcare: A taxonomy and systematic review

📗 Journal: Computer Methods and Programs in Biomedicine (I.F.=6.1)
🗓Publish year: 2024

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📲Channel: @Bioinformatics
#review #chatgpt #healthcare

📄 Applications of deep learning in understanding gene regulation

📔 Journal: Cell Reports Methods (I.F.=3.8)
🗓 Publish year: 2023

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📲Channel: @Bioinformatics
#review #deep_learning #gene

🧑🏼‍💻 Rational Drug Discovery
💥 Virtual Workshop from National Institute of Cancer

▫️Session 1 - Artificial Intelligence in Drug Discovery
▫️Session 2 - Use of Data Science and AI for Target Selection in Oncology
▫️Session 3- Structural Biology
▫️Session 4- In situ Computational Microscopy

📲Channel: @Bioinformatics
#video #drug #ai #cancer

📃 Databases and prospects of dynamic gene regulation in eukaryotes: A mini review

📘 Journal: Computational and Structural Biotechnology Journal (I.F.=6)
🗓 Publish year: 2023

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📲Channel: @Bioinformatics
#review #gene

🧑‍💻ChatGPT may help bioinformaticians in programming

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📲Channel: @Bioinformatics
#chatgpt #r

📹 Graph Neural Networks in Computational Biology
💥Recorded webinar from Imperial College Computational Biology Society

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📲Channel: @Bioinformatics
#video #gnn

📑 Large language models in bioinformatics: applications and perspectives

📕 arXiv preprint
🗓 Publish year: 2024

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📲Channel: @Bioinformatics
#review #genomics #transcriptomics #proteomics #drug_discovery #single_cell_analysis

📹 An introduction to DNA Sequencing

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📲Channel: @Bioinformatics
#video #sequencing

📃 Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

📔 Journal: International Journal of Molecular Sciences (I.F.=5.6)
🗓 Publish year: 2023
🧑‍💻Authors: Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie Overbeek, Rick L. Stevens
🏢Universities: Argonne National Laboratory and The University of Chicago, IL, United States

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📲Channel: @Bioinformatics
#review #deep_learning #drug #cancer