Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A data science roadmap for open science organizations engaged in early-stage drug discovery
Abstract The Structural Genomics Consortium is an international open science research
organization with a focus on accelerating early-stage drug discovery, namely hit discovery …
organization with a focus on accelerating early-stage drug discovery, namely hit discovery …
Oral druggable space beyond the rule of 5: insights from drugs and clinical candidates
The rule of 5 (Ro5) is a set of in silico guidelines applied to drug discovery to prioritize
compounds with an increased likelihood of high oral absorption. It has been influential in …
compounds with an increased likelihood of high oral absorption. It has been influential in …
The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands
C Southan, JL Sharman, HE Benson… - Nucleic acids …, 2016 - academic.oup.com
Abstract The IUPHAR/BPS Guide to PHARMACOLOGY (GtoPdb, http://www.
guidetopharmacology. org) provides expert-curated molecular interactions between …
guidetopharmacology. org) provides expert-curated molecular interactions between …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
Chemogenomics data generally refers to the activity data of chemical compounds on an
array of protein targets and represents an important source of information for building in …
array of protein targets and represents an important source of information for building in …
The Experimental Uncertainty of Heterogeneous Public Ki Data
The maximum achievable accuracy of in silico models depends on the quality of the
experimental data. Consequently, experimental uncertainty defines a natural upper limit to …
experimental data. Consequently, experimental uncertainty defines a natural upper limit to …
Data-driven medicinal chemistry in the era of big data
SJ Lusher, R McGuire, RC van Schaik… - Drug discovery today, 2014 - Elsevier
Science, and the way we undertake research, is changing. The increasing rate of data
generation across all scientific disciplines is providing incredible opportunities for data …
generation across all scientific disciplines is providing incredible opportunities for data …
BIGCHEM: challenges and opportunities for big data analysis in chemistry
The increasing volume of biomedical data in chemistry and life sciences requires the
development of new methods and approaches for their handling. Here, we briefly discuss …
development of new methods and approaches for their handling. Here, we briefly discuss …
[HTML][HTML] Matched molecular pair analysis in short: algorithms, applications and limitations
Molecular matched pair (MMP) analysis has been used for more than 40 years within
molecular design and is still an important tool to analyse potency data and other compound …
molecular design and is still an important tool to analyse potency data and other compound …
Chemu 2020: Natural language processing methods are effective for information extraction from chemical patents
Chemical patents represent a valuable source of information about new chemical
compounds, which is critical to the drug discovery process. Automated information extraction …
compounds, which is critical to the drug discovery process. Automated information extraction …