Beware of docking!
YC Chen - Trends in pharmacological sciences, 2015 - cell.com
Docking is now routine in virtual screening or lead optimization for drug screening and
design. The number of papers related to docking has dramatically increased over the past …
design. The number of papers related to docking has dramatically increased over the past …
The application of in silico drug-likeness predictions in pharmaceutical research
The concept of drug-likeness, established from the analyses of the physiochemical
properties or/and structural features of existing small organic drugs or/and drug candidates …
properties or/and structural features of existing small organic drugs or/and drug candidates …
Estimation of the size of drug-like chemical space based on GDB-17 data
The goal of this paper is to estimate the number of realistic drug-like molecules which could
ever be synthesized. Unlike previous studies based on exhaustive enumeration of molecular …
ever be synthesized. Unlike previous studies based on exhaustive enumeration of molecular …
Computer-based de novo design of drug-like molecules
G Schneider, U Fechner - Nature Reviews Drug Discovery, 2005 - nature.com
Ever since the first automated de novo design techniques were conceived only 15 years
ago, the computer-based design of hit and lead structure candidates has emerged as a …
ago, the computer-based design of hit and lead structure candidates has emerged as a …
Statistical strategies for avoiding false discoveries in metabolomics and related experiments
DI Broadhurst, DB Kell - Metabolomics, 2006 - Springer
Many metabolomics, and other high-content or high-throughput, experiments are set up
such that the primary aim is the discovery of biomarker metabolites that can discriminate …
such that the primary aim is the discovery of biomarker metabolites that can discriminate …
[引用][C] An Introduction to Chemoinformatics
AR Leach - 2007 - books.google.com
Chemoinformatics draws upon techniques from many disciplines including computer
science, mathematics, computational chemistry and data visualisation to tackle these …
science, mathematics, computational chemistry and data visualisation to tackle these …
On various metrics used for validation of predictive QSAR models with applications in virtual screening and focused library design
K Roy, I Mitra - Combinatorial chemistry & high throughput …, 2011 - ingentaconnect.com
Quantitative structure-activity relationships (QSARs) have important applications in drug
discovery research, environmental fate modeling, property prediction, etc. Validation has …
discovery research, environmental fate modeling, property prediction, etc. Validation has …
Combinatorial and high‐throughput materials science
WF Maier, K Stoewe, S Sieg - … chemie international edition, 2007 - Wiley Online Library
There is increasing acceptance of high‐throughput technologies for the discovery,
development, and optimization of materials and catalysts in industry. Over the years, the …
development, and optimization of materials and catalysts in industry. Over the years, the …
Multi-objective optimization methods in drug design
CA Nicolaou, N Brown - Drug Discovery Today: Technologies, 2013 - Elsevier
Drug discovery is a challenging multi-objective problem where numerous pharmaceutically
important objectives need to be adequately satisfied for a solution to be found. The problem …
important objectives need to be adequately satisfied for a solution to be found. The problem …
Bioisosteric replacement and scaffold hopping in lead generation and optimization
Bioisosteric replacement and scaffold hopping are twin methods used in drug design to
improve the synthetic accessibility, potency and drug like properties of a compound and to …
improve the synthetic accessibility, potency and drug like properties of a compound and to …