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What is alvaMolecule?

alvaMolecule is a no-code cheminformatics platform that enables users to visualize, curate, and standardize molecular datasets in preparation for analytical work. It supports widely-used molecular formats like SMILES and SDF/MOL2, allowing seamless navigation through collections in either grid or spreadsheet views while automatically importing pertinent data. The platform guarantees structure verification and standardization through built-in standardizers and customizable SMIRKS rules, aids in the detection and management of duplicates, and offers scaffold analysis to summarize essential frameworks. Moreover, it includes integrated filtering and charting features that enable sorting by substructures, calculated molecular descriptors, and various physicochemical properties. alvaMolecule can calculate approximately 88 structural and physicochemical properties, which include drug-like and lead-like scoring metrics such as LogP, TPSA, and the Lipinski alert index, ultimately supporting users in creating high-quality datasets for QSAR/QSPR modeling, descriptor computations, and virtual screening tasks. In addition, its intuitive interface makes it accessible for researchers of all coding skill levels, allowing them to effectively enhance their cheminformatics endeavors and streamline their research processes.

What is Smile?

Smile’s suite of online software solutions offers a thorough method for effectively reducing risks. These applications can work independently to oversee risks, perform audits, and manage incidents and complaints, while also systematically improving organizational processes. When these tools are combined, they form a powerful platform for integrated risk management that focuses on vital aspects such as Quality, Safety, and Data Protection in accordance with GDPR standards. Choosing Smile provides a comprehensive enhancement strategy that prioritizes user experience, simplicity, and compliance with GDPR, all backed by exceptional customer service. As a Quality & Safety Staff Officer or QSHE professional, your role involves collaborating with various departments to improve quality and safety within the organization, managing diverse responsibilities while advising the Board on crucial safety and quality matters—an important function that often goes unnoticed. With Smile's cutting-edge software solutions, you achieve greater organization and clarity in your tasks, allowing you to perform your duties more efficiently while supporting the overall objectives of your organization. This enhanced capability not only benefits your work but also promotes a culture of safety and quality throughout the entire organization.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alvascience

Date Founded

2018

Company Location

Italy

Company Website

www.alvascience.com

Company Facts

Organization Name

Smile BV

Date Founded

1996

Company Location

Netherlands

Company Website

www.smile.nl/en/

Categories and Features

Categories and Features

Risk Management

Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment

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