Building Block Catalogue

284 Thousand compounds in stock

Original and unique

Make-on-demand
Building Blocks

210 Million novel building blocks

Reliable supply

Custom Synthesis

Over 650 highly skillful chemists

Unique synthesis technologies

Library Synthesis

31 Billion REAL compounds and

Custom Library Synthesis

FTE Chemistry Support

On site access to all Enamine stock BB’s

Highly flexible arrangements

2 000 new building blocks are synthesized monthly. Here is an important update to our MedChem Highlights from August 2022

Recent News

  • 11 May 2022   News

    Enamine Operation Update, May 11

    We are glad to inform you that we have fully restored the scope of our building block catalog as it was before the 24th of February war outbreak. The catalog lists over 238 000 off-the-shelf products. Such items are again offered in the various batch sizes reaching up to 100 grams in many cases to give you full scale of choice for your projects. Please visit https://enaminestore.com/catalog to make structure searches and order online.

  • 05 May 2022   News

    Enamine Operation Update, May 5

    Since our return to the labs 1 month ago, we have managed to restore and catch up with practically all our synthesis and stock operations. We are extremely grateful for your being with us during these difficult times. We were happy to receive your messages of strong support and orders, demonstrating your continuous trust in Enamine. It means a lot to all of us, and it helped our quick rebirth.

    Now more than 400 chemists have returned to our labs, among whom 150 as FTE’s in your research projects. Each week more chemists join back their FTE team structures. In early 2022, the company made a strategic supply of reagents and solvents so that we can continue self-sufficient synthesis activities for many months. Furthermore, most recently, significant progress has been made in receiving again goods and starting materials in Ukraine. Our newly established small synthesis lab in Latvia operates now in parallel to the Kyiv-based ones and will be happy to welcome new FTE clients.

    Our parallel synthesis lab is capable now of setting up 1 400 - 1 500 syntheses per day, the rate that allows the synthesis of a few thousand REAL Compounds in a 2-month project. There is no limitation to the library size to request. As we used to encounter difficulties in dealing with the end-of-the-year REAL Compound orders always arriving in numbers, we would like to encourage you to send your requests as soon as possible and book our optimally available capacities in advance!

    Enamine chemists back on creative spree. A few latest additions to our Building Block catalog

    Enamine has resumed internal synthesis programs targeting to replenish and expand our catalog of Building Blocks. The strategic goal is to replicate our stock of BBs and make it evenly represented in all our three warehouses: in the US, in Latvia, and in Ukraine. The first step in this direction was made when we shipped sizeable selections of building blocks to our stocks abroad. Now our chemists are busy in resynthesizing them.

    All our stock catalogs including building blocks, screening compounds, fragments, and plated compound libraries are readily available for your analysis and fully operatable. Our delivery times improve every week!

Upcoming events

Enamine Ltd., a leading chemical research organization and producer of the world’s largest collections of novel building blocks (225,000+) and screening compound libraries (2,740,000+), has joined the Advanced Machine Learning for Innovative Drug Discovery (AIDD) program, funded by the European Union within the framework of the Marie-Skłodowska-Curie Actions (MSCA) with a budget of Euros 3.93 million. The project, coordinated by Helmholtz Zentrum München,Germany, brings together fifteen institutions from eleven countries in addition to the University of British Columbia (Canada) to train sixteen PhD students in close collaboration with associated partners from the USA, Australia, China, Israel and other countries and develop next generation AI and Machine Learning (ML) models and systems for drug discovery.

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