We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
Other cookies are those that are being identified and have not been classified into any category as yet.
Molecular string representations are a key asset in cheminformatics and are becoming increasingly relevant to the general chemical community, due to the steadily growing impact of Big Data and Machine Learning. Among all of the existing string representations that have been proposed, SMILES (Simplified Molecular Input Line Entry Specification) are probably the de facto standard as of today. Despite their convenience as a way to store unique molecular structures in data-bases, however, SMILES are not easy to understand for most chemists: that is, it is difficult for an untrained chemist to grasp the molecule that a SMILES is describing.
Garay-Ruiz, D.; Bo, C.
ChemRxiv 2021
DOI:
10.26434/chemrxiv.14230034.v1
Join our team to work with renowned researchers, tackle groundbreaking
projects and contribute to meaningful scientific advancements