User profiles for S. Ekins
sean ekinsCollaborations Pharmaceuticals, Inc. Verified email at collaborationspharma.com Cited by 25040 |
In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
Pharmacology over the past 100 years has had a rich tradition of scientists with the ability to
form qualitative or semi‐quantitative relations between molecular structure and activity in …
form qualitative or semi‐quantitative relations between molecular structure and activity in …
In silico pharmacology for drug discovery: applications to targets and beyond
Computational (in silico) methods have been developed and widely applied to pharmacology
hypothesis development and testing. These in silico methods include databases, …
hypothesis development and testing. These in silico methods include databases, …
Progress in predicting human ADME parameters in silico
… S 1 +…+β 2n S n where Y is a target property, a is the intercept, β's are PLS (QSAR) coefficients,
and E 1 … E n and S 1 … S … increasing Y has either: S>0 and β>0 value or S<0 and β<0 …
and E 1 … E n and S 1 … S … increasing Y has either: S>0 and β>0 value or S<0 and β<0 …
Dual use of artificial-intelligence-powered drug discovery
An international security conference explored how artificial intelligence (AI) technologies for
drug discovery could be misused for de novo design of biochemical weapons. A thought …
drug discovery could be misused for de novo design of biochemical weapons. A thought …
The configuration of Greater Gondwana—Evidence from LA ICPMS, U–Pb geochronology of detrital zircons from the Palaeozoic and Mesozoic of Southeast Asia and …
…, P Chaodumrong, M Udchachon, S Ekins… - Gondwana …, 2014 - Elsevier
… K–S comparisons from the Himalayas and from Australia suggest that North China was
close to Gondwana, but our K–S inter-terrane comparisons do not support this hypothesis. …
close to Gondwana, but our K–S inter-terrane comparisons do not support this hypothesis. …
Exploiting machine learning for end-to-end drug discovery and development
… Today’s pressures are likely to be different in each company, depending on the target market
and available resources, although bottlenecks are common 7 . The biggest cost and most …
and available resources, although bottlenecks are common 7 . The biggest cost and most …
[HTML][HTML] A critical overview of computational approaches employed for COVID-19 drug discovery
… of S protein also presents opportunities to inhibit attachment of SARS-CoV-2 to host cells.
S … Thus, disrupting S protein from reaching its stable fusion conformation could be a viable …
S … Thus, disrupting S protein from reaching its stable fusion conformation could be a viable …
In silico repositioning of approved drugs for rare and neglected diseases
One approach to speed up drug discovery is to examine new uses for existing approved
drugs, so-called ‘drug repositioning’ or ‘drug repurposing’, which has become increasingly …
drugs, so-called ‘drug repositioning’ or ‘drug repurposing’, which has become increasingly …
Three-dimensional quantitative structure-activity relationship for inhibition of human ether-a-go-go-related gene potassium channel
S Ekins, WJ Crumb, RD Sarazan, JH Wikel… - … of Pharmacology and …, 2002 - ASPET
The protein product of the human ether-a-go-go gene (hERG) is a potassium channel that
when inhibited by some drugs may lead to cardiac arrhythmia. Previously, a three-…
when inhibited by some drugs may lead to cardiac arrhythmia. Previously, a three-…
Comparison of deep learning with multiple machine learning methods and metrics using diverse drug discovery data sets
… very poorly for the Cohen’s Kappa across all methods. The … Overall, the Cohen’s Kappa is
the most sensitive metric for … Matthews correlation and Cohen’s Kappa scores are dramatically …
the most sensitive metric for … Matthews correlation and Cohen’s Kappa scores are dramatically …