Deepak Bandyopadhyay
3 SlideShares 2 Abonné
Personal Information
Entreprise/Lieu de travail
Greater Philadelphia Area United States
Profession
Computational Scientist at GlaxoSmithKline
Secteur d’activité
Medical / Health Care / Pharmaceuticals
Site Web
www.cs.unc.edu/~debug
À propos
As a computational chemist (i.e. a data scientist in the life sciences), I work with scientists from many domains, including chemists, biologists, and other informaticians. I enjoy digging into all the computational aspects of life science research, and solving data challenges by exploiting adjacencies and connections - between diverse fields of knowledge, and the equally diverse scientists trained in them. I have supported multiple drug discovery projects starting from target identification through to candidate selection and clinical development. Deriving insight by custom data integration is what I'm best known for. My doctoral training was Computer Science, w/ postdoc in cheminformatics.
Coordonnées
Mots-clés
hts spotfire scaffold protein structure livedesign data visualization molecule visualization drug discovery sar cheminformatics acs moe knime dna-encoded library tcams nih frameworks fragment-based drug design elt data-driven clustering automated exhaustive ncats r-group screening scaffold network sng data integration gsk sar analysis
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Présentations

(3)

Scaffold-based Analytics: Enabling Hit-to-Lead Decisions by Visualizing Chemical Series Linked Across Large Datasets (ACS Boston 2015)

il y a 8 ans • 999 Vues

Dynamic SA/Reports - ACS Philadelphia 2012

il y a 8 ans • 548 Vues

Molecular and data visualization in drug discovery

il y a 8 ans • 1363 Vues
Personal Information
Entreprise/Lieu de travail
Greater Philadelphia Area United States
Profession
Computational Scientist at GlaxoSmithKline
Secteur d’activité
Medical / Health Care / Pharmaceuticals
Site Web
www.cs.unc.edu/~debug
À propos
As a computational chemist (i.e. a data scientist in the life sciences), I work with scientists from many domains, including chemists, biologists, and other informaticians. I enjoy digging into all the computational aspects of life science research, and solving data challenges by exploiting adjacencies and connections - between diverse fields of knowledge, and the equally diverse scientists trained in them. I have supported multiple drug discovery projects starting from target identification through to candidate selection and clinical development. Deriving insight by custom data integration is what I'm best known for. My doctoral training was Computer Science, w/ postdoc in cheminformatics.
Mots-clés
hts spotfire scaffold protein structure livedesign data visualization molecule visualization drug discovery sar cheminformatics acs moe knime dna-encoded library tcams nih frameworks fragment-based drug design elt data-driven clustering automated exhaustive ncats r-group screening scaffold network sng data integration gsk sar analysis
Tout plus