Gnarus Systems, Inc.

Cloud-based computational toxicology featuring cat-SAR®, a peer-reviewed toxicity prediction expert system,

[KP Digital Health @KPDigitalHealth]

A new neural network system can predict a proposed drug’s chemical structure could help prevent adverse drug interactions. https://t.co/3tSVLO3BhP @techreview #digitalhealth #AI #medications

[Gnarus Systems, Inc. @GnarusSystems]

'Another AI-Generated Drug? https://t.co/zsOBeIPQMG" by @Dereklowe.

[Luke Timmerman @ldtimmerman]

Scientists at the Movies. Listen to @SanjivKPatel1 of @Relay_Tx on the growing opportunity in computational chemistry for drug discovery. https://t.co/z03azL9eyz

[Gnarus Systems, Inc. @GnarusSystems]

"AI will revolutionize drug discovery — but only if experts are involved https://t.co/xgujs9ciio" via @statnews.

[Gnarus Systems, Inc. @GnarusSystems]

"Chemical Exposure Web Tool Defines Risks Faced by Millions of California Women https://t.co/TeuJBKZaMt" by @EFernandezUCSF.
cc @edjanalytics
@UofLEnvirome

[Joseph Allen @j_g_allen]

Doctoral student Anna Young presenting on #ForeverChemicals (and a strategy to get them out of buildings) at #ISESISIAQ2019

Follow her here: @anna_s_young

[Gnarus Systems, Inc. @GnarusSystems]

Includes "Cardiovascular hazard assessment in environmental toxicology," @UofLEnvirome.
cc @Tedsmithphd

[Environmental Health Perspectives @EHPonline]

NEW COMMENTARY: Proposed Key Characteristics of Female Reproductive Toxicants as an Approach for Organizing and Evaluating Mechanistic Data in Hazard Assessment. Read the article ➡️ https://t.co/0PL3AXf8s6 @UCBerkeleySPH @UCIrvine @NIEHS

[Gnarus Systems, Inc. @GnarusSystems]

"The seemingly esoteric pursuit has serious implications: A tool that can accurately model protein structures could speed up the development of new drugs https://t.co/kiE45Ia9dR;" @RobertLangreth.
cc @edjanalytics

[Gnarus Systems, Inc. @GnarusSystems]

@dockingdotorg Mammary carcinogen-protein binding potentials [http://t.co/gqmn1dqC]; this is us! We also do predictive tox.

[Gnarus Systems, Inc. @GnarusSystems]

"Deep Neural Network Model Can Predict Adverse Drug Reactions https://t.co/6f8Pujsicl" via @i_DigitalHealth.

[John LaMattina @John_LaMattina]

A lot of animal tox can be found in preclinical IND studies leading up to phase 1 trials.

[Gnarus Systems, Inc. @GnarusSystems]

"Is modern life poisoning me? I took the tests to find out https://t.co/bHYpEUiXST" by @emilyhholden.
cc @UofLEnvirome

[Endeavor Midwest @Endeavor_Lou]

Coffee anyone? ☕️ Be sure to catch our Managing Director, @jmandrewsv this Wednesday, May 15th at @1MillionCupsLOU to chat @Endeavor_Lou impact! https://t.co/pWIhXAgLol #StartUpLou #ScaleUpGoBigGiveBack @KauffmanFDN

[Emily Mullin @emilylmullin]

Who's doing interesting stuff with AI for drug discovery? Looking to talk to folks in both academia and industry.

[1MillionCups LOU @1MillionCupsLOU]

Agree, and @jmandrewsv will be at #1MCLou this Wednesday morning. We'll have coffee, too.

Register -> https://t.co/wYLtaBrbIV

[1MillionCups LOU @1MillionCupsLOU]

"Wouldn't it be cool to do something like this in the 'ville?"

Why, yes, it would.

Looking atchu, @UofLBCC.

[Gnarus Systems, Inc. @GnarusSystems]

Did you attend #DrugSafetyUS, @edjanalytics?

[Cory Gilvary @Coryandar]

Great discussion at #DrugSafetyUS round tables. AI is not here to replace humans. It is meant to assist and guide healthcare and pharma workers/researchers. That distinction is important for public perception and proper implementation.

[Gnarus Systems, Inc. @GnarusSystems]

"In a test for #AI, a buzzy machine learning startup [@insitro] inks drug discovery deal with @GileadSciences https://t.co/SkDCJ4OQ7g" by @matthewherper & @rebeccadrobbins.
cc @edjanalytics

[Jay Bradner, M.D. @jaybradner]

A deep dive into properties and performance of small-molecule libraries (binding selectivity, target coverage, cell-based phenotypes, chemical structure & clinical dev), from NIBR and friends https://t.co/yEroNti56H
@novartisscience @harvardmed @DanaFarber #chembio

[Gnarus Systems, Inc. @GnarusSystems]

You and @UofLBCC should talk, @edjanalytics.

[Novartis @Novartis]

AI may help us to design smarter clinical trials #AACR19 #reimaginingcancer