EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published
with-doi10.3390/mol2net-07-12093 (registering DOI)
This submission belongs to the session 01. USE.DAT-07: USA-Europe Data Analysis Trends Congress, Cambridge, UK-Bilbao, Basque Country-Miami, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
22 Dec, 2021
Academic Editor
author-avatarHumberto Díaz
Citation
Humbert Gonzalez-Diaz, NEURODAT'21 IBRO-PERC Lecture on Chemoinformatics in Neurosciences, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-12093
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NEURODAT'21 IBRO-PERC Lecture on Chemoinformatics in Neurosciences

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1. Department of Organic Chemistry II, University of the Basque Country (UPV/EHU), Biscay, Spain, Spain
2. IKERBASQUE, Basque Foundation for Science, 48011, Bilbao, Spain.
Abstract

Description. Welcome to Prof. PhD. Humberto González-Díaz invited talk cover and tutoring channel on Chem-Bioinformatics & Nano-Informatics in Neurosciences. The talk is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is devoted to promote soft skills on entry level medicine and also STEMS area students interested on neurosciences. On this talk the professor made an introduction to the basic concepts related to Chem-Bioinformatics and Nano-Informatics with applications in Neurosciences.

Description of channel. This channel is part of the NEURODAT’21 training program funded by IBRO-PERC Soft Skills Training call of the International Brain Research Organization (IBRO) and the Pan-Europe Regional Committee (PERC). NEURODAT’21 is a training program devoted to promote soft skills on entry level Medicine and also STEMS area students interested on Neurosciences. In this tutoring channels students will be allowed to do online public questions and comments about different topics of Deep Learning and its applications in Neurosciences. Prof. Gnozalez-Diaz will answer all questions within his area of expertise. This professor may interact with you in English, or Spanish. Galego and Euskera can be used also for short comments and written questions/answers.

Talk & Channel Topics. The emphasis is on use in Neurosciences of Chem-Bioninformatics and Nanoinformatics, Molecular Descriptors, Computer Aided Drug Discovery (CADD), Machine Learning, Multi-output models, Multi-label classification, Information Fusion Perturbation-Theory Machine Learning (IFPTML) models, Complex Networks, Protein Interactions Networks (PINs), Metabolic Networks, Brain Cortex Networks, etc.

Instructions for students. The steps for participation are: (1) Wait for channel starting in 2021-Dec-25, you will see a posting comments option/button, (2) Register/login with your email and password to validate your user, (3) Post your question/comment for the Prof. of the channel, (4) Wait for the email advising that professor has answered your question, (5) Make other questions related to this topic or other topics, (6) Request your attendance certificate to mol2net.chair@gmail.com or directly to the email of the professor.

General notes. (1) Students are allowed to made multiple questions following the same discussion threat or open new questions. (2) Some professors may release different materials, slides, etc., that the student can use to study and/or follow the discussion, click the button bellow to see the pdf files. (3) Language note: some professors allow students to select their favorite language of interaction according to professor communications skills, accordingly materials, questions, and answers may appear in these languages. (4) The channel will be open until conference finish the post-publication stage, contact chairpersons for doubts: mol2net.chair@gmail.com

Keywords
Chem-Bioninformatics
Nanoinformatics
Molecular Descriptors
Computer Aided Drug Discovery (CADD)
Machine Learning
Multi-output models
Multi-label classification
Information Fusion
Perturbation-Theory
Machine Learning
IFPTML models
Complex Networ
Manuscript
Poster
Gonzalez-Diaz mol2net slide template.pdf
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