Pages that link to "Q56627226"
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The following pages link to How many leads from HTS? (Q56627226):
Displaying 45 items.
- Identification and Validation of a Potent Dual Inhibitor of the P. falciparum M1 and M17 Aminopeptidases Using Virtual Screening (Q28548496) (← links)
- Nature's bounty - drug discovery from the sea (Q28828257) (← links)
- Ligand efficiency: a useful metric for lead selection (Q29617403) (← links)
- Virtual screening: an in silico tool for interlacing the chemical universe with the proteome. (Q30366496) (← links)
- Advances in Nuclear Magnetic Resonance for Drug Discovery (Q30387229) (← links)
- Microchip-based high-throughput screening analysis of combinatorial libraries (Q30788436) (← links)
- Chemoinformatics methods for systematic comparison of molecules from natural and synthetic sources and design of hybrid libraries (Q30875895) (← links)
- Strategies for discovering drugs from previously unexplored natural products (Q30880493) (← links)
- Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets (Q31041742) (← links)
- Assay concordance between SPA and TR-FRET in high-throughput screening (Q33246077) (← links)
- Virtual ligand screening: strategies, perspectives and limitations (Q33247681) (← links)
- Lessons learnt from assembling screening libraries for drug discovery for neglected diseases (Q33309109) (← links)
- VSDMIP: virtual screening data management on an integrated platform. (Q33378588) (← links)
- Recent advances in computer-aided drug design (Q33443633) (← links)
- Visual Characterization and Diversity Quantification of Chemical Libraries: 1. Creation of Delimited Reference Chemical Subspaces (Q33962362) (← links)
- Application of NMR and molecular docking in structure-based drug discovery (Q34019272) (← links)
- Structure-based and ligand-based virtual screening of novel methyltransferase inhibitors of the dengue virus (Q34175884) (← links)
- QSAR of phytochemicals for the design of better drugs. (Q34381519) (← links)
- Discovery of a new class of inhibitors for the protein arginine deiminase type 4 (PAD4) by structure-based virtual screening (Q34530440) (← links)
- Physiologically-based pharmacokinetic simulation modelling. (Q34581581) (← links)
- The future of plant drug discovery (Q34620026) (← links)
- Virtual screening of chemical libraries for drug discovery (Q34626368) (← links)
- The current state of drug discovery and a potential role for NMR metabolomics (Q35072850) (← links)
- Review article: mitogen-activated protein kinases in chronic intestinal inflammation - targeting ancient pathways to treat modern diseases (Q35171811) (← links)
- Drug research: myths, hype and reality (Q35194765) (← links)
- Identification and characterization of novel small-molecule inhibitors against hepatitis delta virus replication by using docking strategies. (Q35603833) (← links)
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling (Q36840592) (← links)
- Distributed Drug Discovery, Part 1: linking academia and combinatorial chemistry to find drug leads for developing world diseases (Q37118507) (← links)
- Docking, virtual high throughput screening and in silico fragment-based drug design (Q37296002) (← links)
- Computational drug discovery (Q37729463) (← links)
- Translational PK-PD modeling in pain (Q38063813) (← links)
- Triggers and cues that activate antibiotic production by actinomycetes (Q38125903) (← links)
- State-of-the-art and dissemination of computational tools for drug-design purposes: a survey among Italian academics and industrial institutions (Q39417388) (← links)
- Rapid activity prediction of HIV-1 integrase inhibitors: harnessing docking energetic components for empirical scoring by chemometric and artificial neural network approaches (Q39675574) (← links)
- Further comparison of primary hit identification by different assay technologies and effects of assay measurement variability (Q46652869) (← links)
- Ensemble docking to difficult targets in early-stage drug discovery: Methodology and application to fibroblast growth factor 23. (Q47750111) (← links)
- Computer aided drug design and its application to the development of potential drugs for neurodegenerative disorders (Q47889903) (← links)
- Higher order alchemical derivatives from coupled perturbed self-consistent field theory (Q51436316) (← links)
- Quo vadis, biotech? (Part 1) (Q73259559) (← links)
- Drug discovery today - and tomorrow (Q73359223) (← links)
- Who wants to be irrational? (Q73826148) (← links)
- The design of combinatorial libraries (Q78026623) (← links)
- Chemoinformatics methods for systematic comparison of molecules from natural and synthetic sources and design of hybrid libraries (Q78844336) (← links)
- New molecular scaffolds for the design of Mycobacterium tuberculosis type II dehydroquinase inhibitors identified using ligand and receptor based virtual screening (Q84684181) (← links)
- New drug discovery techniques are not so revolutionary (Q95784538) (← links)