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Equbits is awarded Phase I SBIR Grant by the National Science Foundation
PALO ALTO, Calif. - June 1, 2005 - Equbits announced today that they have been awarded a Phase I Small Business Innovation Research (SBIR) Grant. This grant entitled,"Knowledge Extraction from Non-linear Models of Drug Data Sets", was funded by the National Science Foundation. This research will further develop Equbits software engine's ability to bring new levels of interpretability to non-linear predictive modeling methods. Predictive modeling as applied to pharmaceutical drug discovery is inherently non-linear and one of the challenges facing modelers is to use non-linear statistical methods that are both accurate and interpretable. Receiving the grant validates the company's thought leadership in bringing more accurate, interpretable predictive modeling to the pharmaceutical industry.

About Equbits: Equbits provides software that helps scientists at pharmaceutical companies accelerate drug discovery. Equbits applies advanced machine learning techniques to QSAR predictive modeling in a easy to use, intuitive software application geared towards HTS and ADME chemists. Founded in 2003, Equbits technology greatly increases productivity by providing the most accurate predictive modeling application in the marketplace. A privately held company, Equbits is headquartered in Palo Alto, California.

For more information contact in the US: info@equbits.com


Equbits and SciTegic Form Partnership to Extend Equbits Predictive Modeling functionality to Pipeline Pilot
Equbits Foresight™ application brings the ability to generate and publish models for SciTegic Pipeline Pilot.

PALO ALTO, Calif. — March 31st, 2005— Equbits Inc., the leading provider of ADME/Tox and HTS based predictive modeling solutions, today announced that it has joined SciTegic’s independent software vendor (ISV) partner program. Through this partnership, SciTegic customers can take full advantage of Equbits modeling capabilities, including model building, tuning, model and result interpretations, and enhanced enterprise level integration between the company’s products. Equbits SciTegic Module enables Foresight™ Non-linear models to be deployed and used within SciTegic’s Pipeline Pilot product. Through the integration, Foresight can access SciTegic ECFP and FCFP fingerprints to generate models and allows users to publish models and results within Pipeline Pilot. By integrating Equbits Foresight with Pipeline Pilot, users receive the benefits of SciTegic’s industry leading data pipelining solution and Equbits best in class predictive modeling technologies. By integrating Foresight with Pipeline Pilot, scientists can improve the accuracy and interpretability of their predictive models by leveraging Foresight’s patent pending automated non-linear engine within the SciTegic framework.

“The integration of Equbits Foresight and Pipeline Pilot demonstrates the commitment Equbits to bring modeling interoperability to the drug discovery arena. By bringing enhanced accuracy while providing a straight forward non-linear solution, users can have the best of both worlds.”

About Equbits
Equbits provides software that helps scientists at pharmaceutical companies accelerate drug discovery. Equbits applies advanced machine learning techniques to QSAR predictive modeling in an easy to use, intuitive software application geared towards HTS and ADME chemists. Founded in 2003, Equbits technology greatly increases productivity by providing the most accurate predictive modeling application in the marketplace. A privately held company, Equbits is headquartered in Palo Alto, California.

About SciTegic
SciTegic, a wholly owned subsidiary of Accelrys, Inc. (NASDAQ: ACCL), develops and markets informatics software to the pharmaceutical and biotechnology industries. The company has pioneered a new technology approach called “Data Pipelining” to process drug discovery data with unprecedented flexibility. This new methodology has established its utility by accelerating informatics research for thousands of users at hundreds of customer sites worldwide. Further information about SciTegic is available at: www.scitegic.com.

To learn more about the Equbits Scitegic Pipeline Pilot component collection, click here.

To learn more through cases studies, click here.

For more information contact: info@equbits.com or call 888-318-3377.


Equbits makes non-linear methods models available to SciTegic Users
Equbits Foresight™ application brings the ability to generate and publish models for SciTegic Pipeline Pilot.

PALO ALTO, Calif. - November 04, 2004 - Equbits Inc., the leading provider of ADME/Tox and HTS based predictive modeling solutions, today announced the release of a SciTegic Connector that allows users to integrate Equbits Foresight models with SciTegic Pipeline Pilot.

Equbits SciTegic Module enables non-linear models to be deployed and used within SciTegic Pipeline Pilot. Through the integration, Foresight can access SciTegic ECFP and FCFP fingerprints to generate models. By integrating Equbits Foresight with Pipeline Pilot, users receive the benefits of Scitegic's world class pipelining solution and Equbits best in class predictive modeling technologies. By integrating Foresight with Pipeline Pilot, scientists can improve the accuracy and interpretability of their predictive models by leveraging Foresight's patent pending automated non-linear engine within the SciTegic framework.

"The integration of Equbits Foresight and Pipeline Pilot demonstrates the commitment Equbits makes to interoperability within the drug discovery arena. By bringing enhanced accuracy while providing a straight forward solution, users can have the best of both worlds."

To learn more about the Equbits SciTegic Module, click here.

For more information contact in the US: info@equbits.com or call 888-318-3377



Equbits Announces SDK for Partners, Customers, and System Integrators-November 4, 2004
SDK makes models available for integration with third party applications and provides a framework for integration with third party applications.

PALO ALTO, Calif. - November 04, 2004 - Equbits Inc., the leading provider of ADME/Tox and HTS based predictive modeling solutions, today announced the release of Equbits Foresight SDK, a software developers kit that allows partners and integrators to quickly and easily integrate Foresight with third party applications or embed Foresight within their proprietary solutions.

"With the release of our SDK, our partners and integrators have a flexible and easy to use solution for integrating best in class predictive modeling solutions within their environments. The SDK revolutionized the use of non-linear methods by providing powerful sophisticated technology in the fingertips of those who need it,"

To learn more about the Equbits SDK, click here.
To learn more through cases studies, click here.


For more information contact in the US: info@equbits.com



Equbits places first among commercial vendors in Fair Isaac sponsored Data Mining Contest- August, 15 2004

PALO ALTO, Calif. - August 15th, 2004 - Equbits Inc., the leading provider of non-linear based data mining solutions, placed first among commercial vendors in the 2004 UCSD data mining competition sponsored by Fair Isaac.

The competition was based on accurately classifying vehicle emission data based on spectrophotometric readings. After building a model, Equbits accurately classified 99.6% of the test data.


For more information contact in the US: info@equbits.com

To learn more about the contest and Equbits through a case study, please click here.
To learn more about our general modeling solutions, click here.

 

Equbits Partners with Bio-Rad
Equbits Foresight™ application brings the ability to generate local models to Bio-Rad’s KnowItAll® system.

PALO ALTO, Calif. — August 10, 2004 — Equbits Inc., the leading provider of ADME/Tox and HTS predictive modeling solutions, today announced a collaboration with Bio-Rad Laboratories, Inc. (AMEX: BIO and BIOb), the leading publisher of fully verified spectral databases, cheminformatics, spectroscopy software and decision support systems for drug discovery. Bio-Rad customers will be able to generate custom ADME/Tox predictive models based on their own proprietary experimental data.

“Equbits is pleased to be collaborating with Bio-Rad. “Bio-Rad offers a comprehensive solution for global ADME/Tox modeling. Integration with the Equbits Foresight™ application will provide a powerful complement as customers require the ability to generate local models based on their own experimental results. The relationship provides validation that Equbits delivers best-in-class predictive modeling technology. We are pleased to announce the relationship at IBC Drug Discovery & Technology 2004 in Boston.”

Equbits has integrated with Bio-Rad’s KnowItAll® system, an integrated suite of applications that includes software and database solutions for spectroscopy, cheminformatics, and ADME/Tox prediction.

Gregory M. Banik, Ph.D., General Manager, Bio-Rad Informatics Division, remarked, “Integration of Equbits’ technology with the KnowItAll® Informatics System marks a major step forward for in silico drug discovery. We look forward to working with Equibits in providing the most complete and accurate ADME/Tox solutions possible to pharmaceutical scientists worldwide.”

About Bio-Rad Bio-Rad's Informatics Division (www.informatics.bio-rad.com) specializes in state-of-the-art software and database solutions for the pharmaceutical, biotech, and chemical industries. Bio-Rad is the leading publisher of fully verified spectral databases, cheminformatics, spectroscopy software and decision support systems for drug discovery. The company's award-winning KnowItAll Informatics System offers a fully integrated environment with flexible, expandable software and database solutions for spectroscopy (MS, NMR, IR, Raman, spectral data management), cheminformatics, and ADME/Tox prediction. Bio-Rad Laboratories, Inc. (www.bio-rad.com) is a multinational manufacturer and distributor of life science research, clinical diagnostics and informatics products. It is based in Hercules, California, and serves more than 70,000 research and industry customers worldwide through a network of more than 30 wholly owned subsidiary offices.

About Equbits Equbits Inc. provides software that helps scientists at pharmaceutical companies accelerate lead optimization. Equbits is a leading provider of state of the art machine learning techniques for pharmaceutical scientists. Equbits applies advanced machine learning techniques to QSAR predictive modeling in an easy to use, intuitive software application geared towards HTS and ADME chemists. Founded by experts in the field of machine learning, chemistry and software development, Equbits makes drug discovery possible with first-in-class computational applications that provide the most accurate, interpretable results.

Three New Members join Equbits World Class Scientific Advisory Board

Palo Alto, CA, January 21, 2004 - Equbits, a provider of non-linear based predictive modeling solutions for HTS and ADME chemists, announces the appointments of Dr. Isabelle Guyon, Professor Kristin Bennett, and Dr. Jennifer Miller to the Equbits Scientific Advisory Board, assisting in the development of new technologies and products. "We are very pleased to add three key members to our team. The addition of our new scientific advisory board members provides us with world reknown expertise in the emerging areas of machine learning, QSAR design, and cheminformatics." < Professor Kristin Bennett is an Associate Professor in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute. Her work includes mathematical programming approaches to problems in artificial intelligence such as machine learning, neural networks, pattern recognition, and the application of these techniques to drug discovery and scientific problems. Dr. Jennifer Miller led the Discovery Chemistry group as a Senior Director at Signature Biosciences and is a member of the Computers in Chemistry Executive Committee of the American Chemical Society. Dr. Jennifer Miller is currently an independent consultant with core expertise in the areas of medicinal chemistry and discovery informatics. "With the development of our board, Equbits has built a world class advisory board capable of achieving our goal: to provide the most accurate predictive modeling solutions for HTS and ADME chemists."

About Equbits: Equbits provides software that helps scientists at pharmaceutical companies accelerate drug discovery. Equbits applies advanced machine learning techniques to QSAR predictive modeling in a easy to use, intuitive software application geared towards HTS and ADME chemists. Founded in 2003, Equbits technology greatly increases productivity by providing the most accurate predictive modeling application in the marketplace. A privately held company, Equbits is headquartered in Palo Alto, California.

Equbits Foresight - Non-Linear Based Predictive Modeling Software Designed for Chemists and Informatics Professionals, Makes Cutting Edge Technology Automated and Easy to Use.

Palo Alto, CA. November 17, 2003 - Equbits, a leading developer of predictive modeling software solutions for HTS chemists and ADME scientists, today introduced Equbits Foresight the first automated non-linear based application that automates the generation of predictive models.

"With Equbits Foresight, scientists can finally have cutting edge algorithms within a framework that automates model selection, feature discovery, and fine tuning. With the release of Equbits Foresight, we have taken new technology that has been proven to outperform existing methodologies and have packaged it in a software application that is automated, easy to use, with all the features found in other tools."

Available immediately, Equbits Foresight currently can runs on PC based machines and can handle up to 100,000's of compounds. "Accuracy matters, the more accurate your predictions are, the better results you can demonstrate. Equbits focuses on delivering the most accurate solutions in a cost effective manner. "With Equbits Foresight, we are delivering a product that brings a whole new level of accuracy not experienced by users."

\ Professor Trevor Hastie joins Equbits Advisory Board

Palo Alto, CA, November 17, 2003 - Equbits, a provider of non-linear based predictive modeling solutions for HTS and ADME chemists, announces the appointment of Trevor Hastie to the Advisory Board, assisting in the development of new technologies and products. Trevor Hastie said, "I am very excited about the opportunity to work with Equbits, a highly talented young software company, that is taking cutting edge machine learning algorithms and developing applications that solve real world predictive analysis problems."

"We are very pleased to add Professor Hastie to our team." "Trevor Hastie is a key thought leader in the area of machine learning. He has done pioneering work that is rapidly becoming central to new research initiatives. We're looking forward to the results of the collaboration between Trevor and Equbits as we optimize and incorporate the most recent technology advances into our applications."

Trevor Hastie is a Professor in the Departments of Statistics and Biostatistics at Stanford University. Professor Hastie is world renowned for his work in machine learning and for his pioneering work in solving challenging machine learning problems.

About Equbits Equbits provides software that helps scientists at pharmaceutical companies accelerate drug discovery. Equbits applies advanced machine learning techniques to QSAR predictive modeling in a easy to use, intuitive software application geared towards HTS and ADME chemists. Founded in 2003, Equbits technology greatly increases productivity by providing the most accurate predictive modeling application in the marketplace. A privately held company, Equbits is headquartered in Palo Alto, California.
  HOW WE FORMED
Equbits brings together expertise from the rational drug design arena, software applications development industry, and the field of machine learning theory.

New technologies were not entering the biopharmaceutical industry at a pace that met scientist's needs.

The industry has been inundated with products yet most software applications remain behind the curve on machine learning side. The latest methods were not being applied to the domain.

Equbits was formed to bring the latest technologies to scientists in an easy to use software application that makes results easy to interpret and analyze.

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