📃Explainable Artificial Intelligence for Drug Discovery and Development : A Comprehensive Survey

🗓 Publish year: 2023

🧑‍💻Authors: Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, ...
🏢Countries: Australia, Sweden, Brazil, Iran, India, USA

📎 Study the paper

📲Channel: @Bioinformatics
#review #explainable_ai #drug

🎥 Proteomics Data Analysis

🎞 Watch

📲Channel: @Bioinformatics
#video #proteomics

🎉 Bioinformatics Day
🇧🇷 On behalf of Brazilian Association of Bioinformatics and Computational Biology

💥Did you know that bioinformatics is one of the most important and innovative areas of science today? It is the key to understanding and perfecting the study of nature in all its aspects, from DNA to diseases. AB3C invites you to show the world your bioinformatician self.
On March 11, we'll celebrate Bioinformatics Day and create buzz in this area on social media. Show your love for bioinformatics and take part in our campaign! Be creative and share your work with the world. Record a video, introduce yourself, tell us about your project, create a jingle with your labmates, and use your imagination!

✍🏻Don't forget to use the hashtag #DiadaBioinformática and tag AB3C on your social networks.
Join us in this celebration of science and technology!
ℹ️ Find out more at https://4et.us/diabioinfo

📲Channel: @Bioinformatics

📄A review on machine learning approaches and trends in drug discovery

📔 Journal: Computational and Structural Biotechnology Journal (I.F.= 6)
🗓 Publish year: 2021

🧑‍💻Authors: Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández
🏢University: Universidade da Coruna, Spain

📎 Study the paper

📲Channel: @Bioinformatics
#review #ml #drug

📹 What can AI do for Genomics?
💥Jian Zhou, Lyda Hill Department of Bioinformatics UT Southwestern Medical Center
🗓Publish year: 2024

🎞 Watch
📂 Slides

📲Channel: @Bioinformatics
#video #ai #genomics

📃Machine Learning Techniques Applied to the Study of Drug Transporters

📘 Journal: Molecules (I.F.= 4.6)
🗓 Publish year: 2023

🧑‍💻Authors: Xiaorui Kong, Kexin Lin,Gaolei Wu
🏢University: Department of Pharmacy, Dalian Medical University, China

📎 Study the paper

📲Channel: @Bioinformatics
#review #ai #drug

📄Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities

📕 Journal: Computers & Chemical Engineering (I.F.= 4.3)
🗓 Publish year: 2024

🧑‍💻Authors: Thanh Tung Khuat , Robert Bassett , Ellen Otte, ...
🏢University: University of Technology Sydney, Australia - CSL Innovation, Melbourne,Australia

📎 Study the paper

📲Channel: @Bioinformatics
#review #ml #antibody

📑 Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models

📓 Journal: International Journal of Molecular Sciences (I.F.= 5.6)
🗓 Publish year: 2023

🧑‍💻Authors: Tianwei Yue,Yuanxin Wang,Longxiang Zhang, ...
🏢University: Carnegie Mellon University, & Johns Hopkins University, & Michigan State University, USA

📎 Study the paper

📲Channel: @Bioinformatics
#review #genomics #deep_learning

👨‍🏫 Registration is open for One month International Bioinformatics Workshop by Decode Life.

💥Cancer Genomics-with NGS, 7th Edition 2024💥

🗓 Duration: 23 March-14 April, 2024

✍️ Registration Link
https://decodelife.co.in

💲Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

💥Key Features:
▫️22 sessions with approximately 35 hrs of learning
▫️E- Certificate of Participation


ℹ️ video recording will be shared with participants immediately after each session along with relevant material.

❔Frequently asked questions
https://decodelife.co.in/faq

🔗 Connect with us for meaningful networking - https://www.linkedin.com/company/decode-life

🔻Please subscribe-

🔹Facebook – www.facebook.com/decodelifebio/
🔹Twitter- twitter.com/LifeDecode
🔹Instagram- www.instagram.com/decode_life_bioinfo/
🔹Linked in- www.linkedin.com/company/decode-life/
🔹Threads -www.threads.net/@decode_life_bioinfo

Decodelife discord server -https://discord.com/invite/T7dGkCTQ

📲Channel: @Bioinformatics

📃 A Guide for the Bioinformatic Analysis of Metabolomics Data

🗓 Publish year: 2024

🧑‍💻Authors: Guillem Santamaria and Francisco R Pinto
🏢University: University of Lisbon, Portugal

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📲Channel: @Bioinformatics
#review #Metabolomics

📑Trends in using deep learning algorithms in biomedical prediction systems

📔 Journal: Frontiers in Neuroscience (I.F.= 4.3)
🗓 Publish year: 2023

🧑‍💻Authors: Yanbu Wang, Linqing Liu, Chao Wang
🏢University: Beijing Sport University-Peking University, Beijing, China

📎 Study the paper

📲Channel: @Bioinformatics
#review #deep_learning #biomedical

📄 Progress and Opportunities of Foundation Models in Bioinformatics

🗓 Publish year: 2023

🧑‍💻Authors: Qing Li, Zhihang Hu, Yixuan Wang, ...
🏢University: University of Hong Kong, Hong Kong SAR - ChinaBioMap, Beijing, China

📎 Study the paper

📲Channel: @Bioinformatics
#review #foundation_models #ai #chatgpt #deep_learning

🇧🇷📃Brazilian women in Bioinformatics: Challenges and opportunities

📔 Journal: Genetics and Molecular Biology (I.F.= 2.1)
🗓 Publish year: 2023

🧑‍💻Authors: Thayne Woycinck Kowalski, Giovanna Câmara Giudicelli, Maria Clara de Freitas Pinho
🏢University: Universidade Federal do Rio Grande do Sul,Centro Universitário CESUCA, Brazil

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📲Channel: @Bioinformatics
#review #gender #brazil

📄A review of deep learning methods for ligand based drug virtual screening

📕 Journal: Fundamental Research (I.F.= 6.2)
🗓 Publish year: 2024

🧑‍💻Authors: Hongjie Wu, Junkai Liu, Runhua Zhang, Yaoyao Lu
🏢University: Suzhou University of Science and Technology - University of Electronic Science and Technology of China, China

📎 Study the paper

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

📃 Advances in AI and machine learning for predictive medicine

📘 Journal: Journal of Human Genetics (I.F.= 3.5)
🗓 Publish year: 2024

🧑‍💻Authors: Alok Sharma, Artem Lysenko, Shangru Jia
🏢University: Griffith University, Australia - RIKEN Center for Integrative Medical Sciences, and The University of Tokyo, Japan

📎 Study the paper

📲Channel: @Bioinformatics
#review #ai #ml #medicine