The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS).
In 2019 the Helmholtz Zentrum Muenchen – German Research Center for Environmental Health GmbH (HMGU) and the Technical University of Munich (TUM) together with the “Big Data in Chemistry” Marie Skłodowska-Curie Innovative Training Network European Industrial Doctorate project (BIGCHEM) organize the 28th ICANN Conference from the 17th to the 19th of September 2019 in Munich, Germany.
Special session (BIGCHEM): Big Data analysis in chemistry, chemoinformatics, use of deep learning to predict molecular properties, drug-discovery, modelling and prediction of chemical reaction data, synthetic route prediction, structure generation, molecular dynamics simulations and quantum chemistry.
Deadline of proceedings paper submission: Extended to 5 April 2019
Deadline of extended abstracts submission: 5 April 2019
Notification of acceptance: 1 May 2019
Camera-ready paper and registration opening: 1 June 2019
Deadline early registration at discount rate: 15 June 2019
Conference dates: 17-19 September 2019
More info on the conference website: http://icann2019.org
Computationally Driven Drug Discovery
March 28-29, 2019 – Università Cattolica del Sacro Cuore, Rome – Italy
Under the auspices of the Division of Medicinal Chemistry of the SCI.
Following the previous editions held in L’Aquila in 2011, in Genova 2013, in Verona 2014, in Pomezia 2016 and in Milan 2017, the convention aims to gather together researchers who make use of techniques such as computational chemistry, chemoinformatics, QSAR, property prediction to direct their effort towards integrated drug discovery program.
You can find more information at the official page:
The 23rd EuroQSAR Symposium, entitled “Integrative Approaches to Rational Drug Design”, will take place in September 2020 in Barcelona.
More information will be published on the event website in the upcoming months!
Follow this link for more information.
This year, Computer Aided Drug Design (CADD) 2018 Seminar & Workshop will be held in Bali (Indonesia), 26-30 November 2018. The focus will be “The New Era of Digital Approach in Drug Design“.
The abstract submission deadline has been extended until September 30th, 2018.
For further information it is possible to visit the official website: http://farmasi.unpad.ac.id/cadd2018/
The Early Bird Registration for the 22nd EuroQSAR that will be held in Thessaloniki, Greece (September 16-20, 2018) is still available for Academicians, Post docs and Students until 10th July, 2018.
|Prices for registration
||Early bird fee
||Standard fee after
|Post Doctoral Researcher
You can find more information at the following page: http://www.euroqsar2018.org/prices-activities.php
QCMS is pleased to offer two fellowships of 700 Euro each to young investigators (QCMS members) to participate to the 22nd EuroQSAR Symposium. Please, send your CV along with the title of your accepted presentation (oral/poster) to email@example.com.
For any information regarding the 22nd EuroQSAR (that will take place September 16-20, 2018 in Thessaloniki, Greece) please follow the link http://www.euroqsar2018.org/
The International Journal of Quantitative Structure-Property Relationships (IJQSPR) [ISSN: 2379-7487|EISSN: 2379-7479|DOI: 10.4018/IJQSPR] is a new journal that will explore the latest research surrounding the topic of Quantitative Structure-Property Relationship (QSPR) models and the applications of these models across the fields of materials science, chemical engineering, pharmaceutical and medicinal chemistry, pharmacokinetics, toxicology (including ecotoxicology), and agricultural sciences, among others. The cross-disciplinary applications of QSPR models featured within IJQSPR make this journal an ideal reference source for chemists, researchers, professionals, engineers, and graduate-level students across industries. Please visit the Journal webpage: http://www.igi-global.com/IJQSPR .
The Journal s also reflected in the COPE website: https://publicationethics.org/members/international-journal-quantitative-structure-property-relationships-ijqspr.
The journal follows a double-blind peer review system and does not levy any processing charge.
Below is listed information on three upcoming special issues (https://www.igi-global.com/calls-for-papers-special/international-journal-quantitative-structure-property/126552). You are requested to consider submitting a paper to a special issue or a regular issue of the journal.
- Natural Products in Computer-aided Drug Design Studies
Guest Editors: Luciana Scotti and Marcus Tullius Scotti, Brazil
Due Date: January 31, 2018
- Interpretable QSAR/QSPR models
Guest Editor: Chanin Nantasenamat, Thailand
Due Date: March 01, 2018
- Development and Use of Free Software for Computer-Aided Drug Design
Guest Editors: João Paulo Ataide Martins and Eduardo Borges de Melo, Brazil
Due Date: April 30, 2018
When: 5 – 9 February 2018
Registration closes: 20 January 2018
Where: STFC Hartree Centre, Sci-Tech Daresbury, Cheshire, UK
Best for: Data analysts working in the pharmaceutical industry or trainees who are able to work independently but would require guidance for solving complex problems.
Prerequisites: Attendees should be familiar with using statistical methods in a chemical research context.
This course will enable attendees to:
- identify which cheminformatics problems are suitable for applying machine learning
- employ both classification and regression models
- define problems in a way that enables a machine learning expert without chemistry knowledge to contribute to a solution
- choose and execute suitable methods for solving a problem
- evaluate a model that claims to solve a particular problem
- compare and contrast various potential models
- demonstrate the business value of a model
Machine Learning For Cheminformatics Flyer
It is our great pleasure to announce that 9th International Symposium on Computational Methods in Toxicology and Pharmacology Integrating Internet Resources (CMTPI-2017) will be held at Bogmallo Beach Resort in Goa, India from October 27-30, 2017. In continuation of previous CMPTI-2001 (Bordeaux , France), CMTPI-2003 (Thessaloniki , Greece), CMTPI-2005 (Shanghai , China), CMTPI-2007 (Moscow, Russia ), CMTPI-2009 (Istanbul, Turkey), CMTPI-2011 (Maribor, Slovenia), CMTPI-2013 (Seoul, Korea) and CMTPI-2015 (Chios-Greece),the CMTPI-2017 will provide an International forum for bringing together leading scientists, students and young innovative minds from different parts of the globe to share a single platform to discuss the latest developments in the emerging and interdisciplinary field of Computational Methods in Toxicology and Pharmacology including the Internet resources. It would also help to develop collaborative relationships between private and public initiatives of organizations, working in areas pertaining to the theme of the conference. The poster/oral sessions of the conference will encourage the young students to present outcome of their research works. We look forward towards your active support through participation and also by sending the participants which would go a long way in making the event a success. The Symposium will feature plenary lectures, oral talks and poster presenting sessions broadly covering the following fields:
Internet and databases.
SAR, QSPR and Molecular Modelling in Drug Discovery.
SAR and QSPR in Environmental Chemistry.
“OMIC”- Sciences and bioinformatics applications in pharmacology and toxicology.
Commercial and non-commercial computational tools and databases in the Internet.
Computational pharmacology and toxicology.
Besides the scientific aspects of the program, you will have the opportunity to visit Goa, which is a dream city situated on the sea side. We are looking forward to welcome you in Goa for the CMTPI-2017 conference.
– Dr. Anil K. Saxena, Organising Secretary, CMTPI-2017
October 25-27, 2017 University of Modena and Reggio Emilia, Modena- ITALY
Every half a year, one of the partners of the Marie Curie BIGCHEM consortium organizes a school about Computational Chemistry and Pharmacology.