A data science roadmap for open science organizations engaged in early-stage drug discovery

K Edfeldt, AM Edwards, O Engkvist, J Günther… - Nature …, 2024 - nature.com
Abstract The Structural Genomics Consortium is an international open science research
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

BC Doak, B Over, F Giordanetto, J Kihlberg - Chemistry & biology, 2014 - cell.com
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 …

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 …

Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
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 …

ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics

J Sun, N Jeliazkova, V Chupakhin… - Journal of …, 2017 - Springer
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 …

The Experimental Uncertainty of Heterogeneous Public Ki Data

C Kramer, T Kalliokoski, P Gedeck… - Journal of medicinal …, 2012 - ACS Publications
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 …

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 …

BIGCHEM: challenges and opportunities for big data analysis in chemistry

IV Tetko, O Engkvist, U Koch, JL Reymond… - Molecular …, 2016 - Wiley Online Library
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 …

[HTML][HTML] Matched molecular pair analysis in short: algorithms, applications and limitations

C Tyrchan, E Evertsson - Computational and structural biotechnology …, 2017 - Elsevier
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 …

Chemu 2020: Natural language processing methods are effective for information extraction from chemical patents

J He, DQ Nguyen, SA Akhondi… - Frontiers in Research …, 2021 - frontiersin.org
Chemical patents represent a valuable source of information about new chemical
compounds, which is critical to the drug discovery process. Automated information extraction …