Anne Carpenter will present on "Accelerating drug discovery through the power of microscopy images."
Microscopy images contain tremendous information about the state of cells, tissues, and organisms. We work with biomedical researchers around the world to extract metrics from cell images, particularly in high-throughput screening experiments testing drugs in disease model systems. As the cell systems and phenotypes of interest become more complex, so are the computational approaches needed to properly extract the information of interest; we continue to bridge the gap between biologists’ needs, such as 3D organoid models, and the latest in computational science, such as deep learning algorithms.
Beyond measuring features that biologists specify, we extract even more from images through profiling experiments using the Cell Painting assay, where thousands of morphological features are measured from each cell’s image. We are working to harvest similarities in these “profiles” for identifying how drugs and genes affect cells, identifying the functional impact of cancer-associated alleles, discovering disease-associated phenotypes, and identifying novel therapeutics. Ultimately, we aim to make perturbations in cell morphology as computable as genomics data.
All novel algorithms and approaches from our laboratory are released as open-source software, including CellProfiler, CellProfiler Analyst, and cytominer.
Anne Carpenter is senior director of the Imaging Platform at Broad Institute of MIT and Harvard. Carpenter is now a pioneer in image-based profiling, the extraction of rich, unbiased information from images for drug discovery, and functional genomics. She collaborates with dozens of biomedical research groups around the world to develop and apply image analysis methods to diverse biological questions. Carpenter is an NIH MIRA investigator, an NSF CAREER awardee, and has received recognition and research funding from numerous other groups including the Human Frontiers in Science program and the Howard Hughes Medical Institute. Carpenter earned her B.S. from Purdue University and her Ph.D. from the University of Illinois at Urbana-Champaign.
Please follow her on twitter: @DrAnneCarpenter
About BAGIM
BAGIM is an active community of Boston area scientists bringing together people from diverse fields of modeling and informatics to impact life and health sciences. BAGIM strives to create a forum for great scientific discussions covering a wide range of topics including data management, visualization, computational chemistry, drug discovery, protein structure, molecular modeling, structure-based drug design, data mining, software tools, and the sharing of goals and experiences. Our community is made up of participants from academia, government, and industry whose goal is to engage in the discussion of science involving a synthesis of theory and technology. Discussions sponsored by BAGIM are targeted to the needs and interests of informatics scientists, computational chemists, medicinal chemists, and statisticians. BAGIM also provides opportunities for networking within these disciplines as well as an arena for the dissemination of information of specific interest to the membership.
Tuesday, November 13, 2018
Thursday, October 4, 2018
BAGIM Event: Derek Lowe on October 18th at 6pm at Le Meridien
Derek Lowe, an Arkansan by birth, got his BA from Hendrix College and his PhD in organic chemistry from Duke before spending time in Germany on a Humboldt Fellowship on his post-doc. He’s worked for several major pharmaceutical companies since 1989 on drug discovery projects against schizophrenia, Alzheimer’s, diabetes, osteoporosis and other diseases. Derek is the author of the widely read "In the Pipeline" blog.
http://blogs.sciencemag.org/pipeline/
http://blogs.sciencemag.org/pipeline/
Thursday, September 13, 2018
First BAGIM event of the season: Roy Vaz
Title: A data analysis exercise to decipher kinase antitargets
Roy J. Vaz received his Ph.D. from the University of Florida, Gainesville in Chemistry with Profs. G. B. Butler and M. Zerner. He obtained an undergraduate degree from the Indian Institute of Technology, Bombay. After his Ph.D., he obtained an MBA from the University of Illinois, UC and most recently an MS in Molecular Biology from Lehigh University. He was responsible for managing the CADD, SB and Cheminformatics efforts at Sanofi, Bridgewater, NJ prior to relocating and supporting small molecule discovery at Sanofi-Genzyme, Waltham, MA. He was previously Director of the Investigative Product Optimization department at Aventis in Bridgewater. He has worked with Bristol-Myers Squibb, Hopewell as Principal Scientist as well as Tripos, Inc, St. Louis as a Research Scientist. He has authored or co-authored over 50 publications in peer-reviewed journals, contributed towards many book chapter and several patents and edited 2 books related to Antitargets.
Roy J. Vaz received his Ph.D. from the University of Florida, Gainesville in Chemistry with Profs. G. B. Butler and M. Zerner. He obtained an undergraduate degree from the Indian Institute of Technology, Bombay. After his Ph.D., he obtained an MBA from the University of Illinois, UC and most recently an MS in Molecular Biology from Lehigh University. He was responsible for managing the CADD, SB and Cheminformatics efforts at Sanofi, Bridgewater, NJ prior to relocating and supporting small molecule discovery at Sanofi-Genzyme, Waltham, MA. He was previously Director of the Investigative Product Optimization department at Aventis in Bridgewater. He has worked with Bristol-Myers Squibb, Hopewell as Principal Scientist as well as Tripos, Inc, St. Louis as a Research Scientist. He has authored or co-authored over 50 publications in peer-reviewed journals, contributed towards many book chapter and several patents and edited 2 books related to Antitargets.
Wednesday, August 8, 2018
Illuminating the Druggable Genome (IDG) Outreach with BAGIM
IDG Outreach meeting with BAGIM
9 am – 2 pm, August 23, 2018
Harvard Medical School
Boston, MA
RSVP Email: idg.rdoc@gmail.com before August 19th, or you will not be able to enter the building.
Come and hear more about Illuminating the Druggable Genome Consortium, a NIH Common Fund program,
composed of Knowledge Management Centers (KMC), Data Resource Generating Centers (DRGC), and
Resource Dissemination and Outreach Center (RDOC).
Agenda:
9:00 Welcome and Introduction - Tudor Oprea, PhD, MD
9:05 Presentation from KMC at University of New Mexico (UNM)
Protein Knowledge Graphs and Machine Learning for
Target Prioritization - Tudor Oprea, PhD, MD
9:30 Presentation from KMC at Icahn School of Medicine at Mt.
Sinai (ISMMS)
Harmonizome-ML: Interactive On-the-Fly Imputation of
Knowledge about Genes and Proteins with Machine
Learning - Avi Ma'ayan, PhD
9:55 Presentation from KMC at National Center for Advancing
Translational Sciences (NCATS)
Pharos, User-Interface to Illuminating Druggable Genome -
Dac-Trung Nguyen and Timothy Sheils
10:20 Break
10:35 Presentation from DRGC - Kinase
Dark Kinase Knowledgebase - Matthew Berginski, PhD
(UNC at Chapel Hill)
Small Molecule Library Informatics - Nienki Moret, Bsc
(Harvard)
11:25 Presentation from DRGC - Ion Channel
Data driven co-ablation of Ion Channels - Zicheng Hu, PhD
(UCSF)
11:50 Break
12:20 Presentation from outside IDG community
Functional and structural interactions in druggable targets
from evolutionary information - Chris Sander, PhD
(Harvard)
Genetic variation in human drug-related genes - Debora
Marks, PhD (Harvard)
13:10 Feedback loop: Discussion on improvements to better
serve the community.
Location:
Harvard Medical School
Warren Alpert Building, Room 563
200 Longwood Avenue
Boston, MA 02115
**Attendees**: Please email your name and affiliation to idg.rdoc@gmail.com by August 19, 2018 in order to
pass HMS building security.
BAGIM - Boston Area Group for Informatics and Modeling
DruggableGenome.net
9 am – 2 pm, August 23, 2018
Harvard Medical School
Boston, MA
RSVP Email: idg.rdoc@gmail.com before August 19th, or you will not be able to enter the building.
Come and hear more about Illuminating the Druggable Genome Consortium, a NIH Common Fund program,
composed of Knowledge Management Centers (KMC), Data Resource Generating Centers (DRGC), and
Resource Dissemination and Outreach Center (RDOC).
Agenda:
9:00 Welcome and Introduction - Tudor Oprea, PhD, MD
9:05 Presentation from KMC at University of New Mexico (UNM)
Protein Knowledge Graphs and Machine Learning for
Target Prioritization - Tudor Oprea, PhD, MD
9:30 Presentation from KMC at Icahn School of Medicine at Mt.
Sinai (ISMMS)
Harmonizome-ML: Interactive On-the-Fly Imputation of
Knowledge about Genes and Proteins with Machine
Learning - Avi Ma'ayan, PhD
9:55 Presentation from KMC at National Center for Advancing
Translational Sciences (NCATS)
Pharos, User-Interface to Illuminating Druggable Genome -
Dac-Trung Nguyen and Timothy Sheils
10:20 Break
10:35 Presentation from DRGC - Kinase
Dark Kinase Knowledgebase - Matthew Berginski, PhD
(UNC at Chapel Hill)
Small Molecule Library Informatics - Nienki Moret, Bsc
(Harvard)
11:25 Presentation from DRGC - Ion Channel
Data driven co-ablation of Ion Channels - Zicheng Hu, PhD
(UCSF)
11:50 Break
12:20 Presentation from outside IDG community
Functional and structural interactions in druggable targets
from evolutionary information - Chris Sander, PhD
(Harvard)
Genetic variation in human drug-related genes - Debora
Marks, PhD (Harvard)
13:10 Feedback loop: Discussion on improvements to better
serve the community.
Location:
Harvard Medical School
Warren Alpert Building, Room 563
200 Longwood Avenue
Boston, MA 02115
**Attendees**: Please email your name and affiliation to idg.rdoc@gmail.com by August 19, 2018 in order to
pass HMS building security.
BAGIM - Boston Area Group for Informatics and Modeling
DruggableGenome.net
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