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What is alvaBuilder?

AlvaBuilder is a cutting-edge molecular design platform that enables users to create novel chemical structures based on specific criteria, such as structural features, physicochemical properties, and modeling parameters. This versatile tool supports the development of brand new molecules from scratch or the alteration of existing compounds through fragment-based techniques and established rules. Additionally, alvaBuilder integrates seamlessly with QSAR/QSPR workflows, allowing users to steer the molecular generation process by utilizing predictive models, defining descriptor ranges, and specifying desired properties. It proves to be particularly advantageous for medicinal chemistry applications, lead optimization, and virtual screening, effectively exploring chemical space while maintaining both chemical feasibility and clarity. Tailored for both academic research and industrial applications, alvaBuilder serves as a crucial tool for projects that demand molecular generation that is both transparent and reproducible, thus establishing itself as a significant resource in the drug discovery arena. Furthermore, by equipping researchers with such capabilities, alvaBuilder significantly boosts the potential for groundbreaking advancements in the realm of chemical research and development. Its user-friendly interface and robust functionalities make it an indispensable asset for scientists striving to innovate in the field.

What is ACD/Labs Percepta Platform?

Percepta provides a comprehensive platform for calculating a range of physicochemical properties, as well as ADME characteristics and toxicity endpoints. Users can seamlessly analyze outcomes from its various calculators, with each module offering targeted information, features like structure highlighting, and specific calculation methods. Additionally, the platform includes robust filtering, sorting, and graphing functionalities, which facilitate the examination of predicted outcomes. To gauge the reliability of these predictions and their applicability to your current endeavors, you can utilize metrics such as reliability index, probability assessments, and comparisons with similar structures from established training sets. The data on calculated molecular properties can also be leveraged for studying structural modifications and optimizing leads to align with the desired product profile concerning absorption, distribution, metabolism, and excretion. Furthermore, incorporating experimental data can enhance your comprehension of the unique chemical landscape while simultaneously boosting the accuracy of predictions through integrated machine learning features. This multifaceted approach not only streamlines research but also fosters innovation in chemical property analysis.

Media

Media

Integrations Supported

alvaDesc
alvaModel

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Alvascience

Date Founded

2018

Company Location

Italy

Company Website

www.alvascience.com

Company Facts

Organization Name

Advanced Chemistry Development

Date Founded

1994

Company Location

Canada

Company Website

www.acdlabs.com/products/percepta/

Categories and Features

Drug Discovery

Not specified

Molecular Modeling

Not specified

Categories and Features

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