[HTML][HTML] Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
Combining metabolite-based pharmacophores with Bayesian machine learning models for mycobacterium tuberculosis drug discovery
S Ekins, PB Madrid, M Sarker, SG Li, N Mittal… - PloS …, 2015 - researchwithrutgers.com
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
[PDF][PDF] Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis
S Ekins, PB Madrid, M Sarker, SG Li… - Drug Discovery. PLoS …, 2015 - academia.edu
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery
S Ekins, PB Madrid, M Sarker, SG Li, N Mittal, P Kumar… - PLoS ONE, 2015 - hero.epa.gov
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
[PDF][PDF] Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis
S Ekins, PB Madrid, M Sarker, SG Li… - Drug Discovery …, 2015 - pdfs.semanticscholar.org
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
[PDF][PDF] Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis
S Ekins, PB Madrid, M Sarker, SG Li… - Drug Discovery. PLoS …, 2015 - researchgate.net
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery.
S Ekins, PB Madrid, M Sarker, SG Li, N Mittal… - PLoS …, 2015 - search.ebscohost.com
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
[PDF][PDF] Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis
S Ekins, PB Madrid, M Sarker, SG Li, N Mittal… - Drug Discovery. PLoS …, 2015 - Citeseer
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery
S Ekins, PB Madrid, M Sarker, SG Li, N Mittal, P Kumar… - PLoS ONE, 2015 - go.gale.com
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
[HTML][HTML] Combining Metabolite-Based Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery
S Ekins, PB Madrid, M Sarker, SG Li, N Mittal… - PLoS ONE, 2015 - ncbi.nlm.nih.gov
Integrated computational approaches for Mycobacterium tuberculosis (Mtb) are useful to
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …
identify new molecules that could lead to future tuberculosis (TB) drugs. Our approach uses …