AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Letter to Robert S. Stevens from John W. Trader, dated 1875-11-16 (from Book of letters to R.S.S., July 1875 to April 1876)

M. and T.The original of this document is in the Stevens Family Papers, #1210, at the Division of Rare and Manuscript Collections, Cornell University Library, Ithaca, New York 14853

John Long's voyages and travels in the years 1768-1788, /

Includes reduced facsimile of t.-p. of original London edition of 1791, with title: Voyages and travels of an Indian interpreter and trader, describing the manners and customs of the North American Indians ... To which is added, a vocabulary of the Chippeway language ... A list of words in the Iroquois, Mohegan, Shawanee, and Esquimeaux tongues ...Mode of access: Internet.Gift of: Earl W. De La Vergne