FDA Licenses ADMET Predictor from Simulations Plus
Simulations Plus said that the US Food and Drug Administration has licensed its ADMET Predictor software for use in its Cardiovascular and Renal Products division.
ADMET Predictor predicts approximately 80 properties of molecules, including physicochemical, biopharmaceutical, metabolism, toxicity, and some activity properties, based on the input of a given molecular structure.
Financial terms of the agreement were not disclosed.
Sloan-Kettering Institute Licenses GeneBio's Phenyx Software
Geneva Bioinformatics said this week that the Sloan-Kettering Institute, part of Memorial Sloan-Kettering Cancer Center, has licensed its PhenyxServer protein-identification and -characterization software.
Under the agreement, Sloan-Kettering researcher Paul Tempst and his colleagues will use the software in his Clinical Proteomic Technology Assessment for Cancer group, one of five such teams established by the National Cancer Institute at different labs to use proteomic technologies and methodologies to directly compare and analyze their work.
The Phenyx software platform, which was developed through a partnership with the Swiss Institute of Bioinformatics, searches, compares, and quantitates multiple protein results. The tool, said the company, is designed to meet the concurrent demands of high-throughput data analysis and dynamic results assessment.
Financial terms of the agreement were not released.
UT Molecular Medical Center Taps GenoLogics for Translational Research Software
GenoLogics announced that it is collaborating with a University of Texas medical research center to develop an integrated software solution for use in translational medical bioinformatics research programs.
The Vancouver, BC-based company said it will work with the Sealy Center for Molecular Medicine at the University of Texas Medical Branch at Galveston to develop biospecimen-management software.
The SCMM, part of the Institute for Translational Sciences, focuses its interdisciplinary efforts on developing new tools for studying biomarkers and human diseases at the molecular level.
“In order to validate our biomarkers for common diseases, we needed to exchange information from clinical to research domains,” SCMM’s director of Biomarker Discovery, Kevin Rosenblatt, said in a statement.
To do that, Rosenblatt said, SMCC sought “a biomedical informatics solution that not only tracks our biospecimens, but also the clinical annotations and then connects to the data being generated in our research labs.”
The system that the company and the center develop will “bring it all together in a single platform,” he added.
Abcam, Transinsight Use Semantic Search to Find Antibodies
Abcam, an antibody-supply firm headquartered in Cambridge, UK, and Transinsight, a Dresden, Germany-based firm that works in the area of semantic search technologies, said this week that they are collaborating to create a bioinformatics workflow platform in the area of protein information quality control.
The companies said in a statement that accurately compiling all the required information around antibody targets is a “challenging task, which has created the requirement for an automated intelligent computer-based solution to ensure top-quality information content about proteins.”
"Until recently there were only limited software tools and scientific workflows available to help us automatically produce high quality data sets surrounding each of Abcam’s thousands of antibody targets. We need these data sets to help our customers find the right products," said Juergen Harter, senior business development manager at Abcam.
Harter said that Abcam chose Transinsight as its partner in the project based on its semantic search engine GoPubMed.org and its extensive bioinformatics and protein database expertise.
HUPO Seeks Public Comment on Proteomics Sequence Database Format
The HUPO Proteomics Standards Initiative has released “PEFF: A Common Sequence Database Format in Proteomics,” for public comment here
PSI said in a statement that the commenting period lets scientists provide feedback on a proposed standard before it is formally accepted, and thus is an important step in the standardization process.
“We invite both positive and negative comments,” Norman Paton, PSI editor, said in a statement.