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.
Dear Colleagues and Friends,
A year on from the 21st edition of our EuroQSAR symposium in Verona, we are pleased to announce the incorporation of the new QSAR, Chemoinformatics, and Modeling Society (QCMS). The process took longer than expected because of the bureaucracy required for the incorporation, and the difficulties in transferring the qsar.org domain from the US to Italy. However, everything is now set up and we are ready for this new adventure. I would like to thank Professors Cruciani and Costantino for their exceptional support throughout the incorporation process. I am also grateful to the members of the International Steering Committee for giving me this opportunity to launch the new Society.
One of the major strengths of QCMS is its interdisciplinary character, which includes QSAR, chemoinformatics, computational chemistry, and biology. It thus covers the many aspects of in silico drug discovery, predictive toxicology, and environmental chemistry. I’m honoured to lead QCMS and will do my best to promote computational activities throughout Europe, the US, and worldwide. The first official meeting of the new Society will be held during the 22nd EuroQSAR Symposium in Thessaloniki. I hope to meet you all there, and to discuss strategies to promote theoretical and in silico activities. I would like the new Society to be an active forum for discussions about innovative software, novel hardware architectures, and their potential impact on one of our main objectives: improving in silico predictions to make experimental activities faster, cheaper, and more effective.
I very much hope for your active participation in our Society, and I look forward to meeting you all again soon.
Andrea Cavalli – QCMS Chair
Translational and Health Informatics: Implications for Drug Discovery
Grand Hotel Palace
Thessaloniki, Greece – September 16-20, 2018