Skip to main content

CAS numbers aren't just for chemicals, but also for antibodies, peptides and others

CAS pelotonia.jpg

If you look close enough at this picture you can spot two happy Chemical Abstracts Service (CAS) members exiting the building. They have just generated 4 new CAS numbers for the very new organic compounds.
This building is where they dwell, while we in research and particularly in LabSuit can happily use their fruitful work.

CAS numbers

In this blogpost I'll be talking about CAS numbers in LabSuit.
Many of us use CAS numbers on the daily basis. They help us uniquely identify chemical compounds and avoid moments of frustration.

Not a long time ago, in LabSuit, we prescribed CAS number fields for chemicals only. While this may be theoretically fine, for practical purposes that may not always be the case. 

CAS numbers have richer context

There was a trigger that helped us to drive the change in LabSuit - we talked with Yifat Abramovich from Rapport, Medicine Department of Technion. Ifat is using CAS number for antibodies! Then we analyzed a bigger sample of compounds across different labs and realized there were numerous cases when items were categorized as chemicals, while could have been categorized in a more narrow category. 
Therefore we decided to bring CAS number field into other categories as well. From now on, antibodies, peptides, etc. can have CAS numbers.
We are grateful to Yifat for this valuable feedback which lead us to this solution!


An image courtesy of Jack B108 - Own work by uploader--from a friend w/permission, CC BY-SA 3.0Link

Comments

  1. I had no idea what cas numbers were meant thanks to your article helen you have widened my understanding of the subject I can now be able to term paper writing service in canada visit this website

    ReplyDelete

Post a Comment

Popular posts from this blog

Lab Fairy embraces Eli Lewis's lab at Ben Gurion university of the Negev

When there is a job for Lab Fairy it doesn't matter whether it's in the Noth or in the South - Lab Fairy packs its tools and embarks for an assignment! This time Lab Fairy has got a call from Ben-Gurion University of the Negev.  It's a pure pleasure to work with a professional lab manager Having boarded a train heading South, the Lab Fairy had an hour ride to Beer Sheva. At the campus which is shared by hospital and university, Lab Fairy was met by amazing lab manager - Ronen Schuster. Ronen was so positive and cooperative that Lab Fairy had a true pleasure of working with him. Ronen accompanied us to the lab and gave very accurate instructions, so the expectations on both sides were very clear.  Lab Fairy plunged into work. Lab Fairy's target was a fridge full of antibodies. On previous  Lab Fairy  assignments,  there were containers  mostly  with chemicals, therefore dealing with the new type of inventory items made it even more interesting and exciting!

LabSuit goes to Vilnius for LOGIN Fare

Good news!!! We're flying to Vilnius, Lithuania to take part in LOGIN Fare, which will take place on 24-26 of May!!! Special thanks to  Startup Lithuania  team for organizing the pitch battle event at Tel Aviv and granting a winning place! LabSuit will have a great company with the other two startups from Israel, Distribyte , and SwitchRTC . We've got some introductions to PI's at Vilnius University, so we plan to get back with new labs that would fall in love with LabSuit! Read more here at the official Startup Lithuania page: http://www.startuplithuania.lt/en/news/switchrtc-distribyte-and-labsuit-coming-to-login-startup-fair-from-tel-aviv

Order awaits receiving longer than usual? LabSuit is here to help!

Problem   It's an essential part of the lab manager's duty to track if ordered items are delivered in a timely manner. Though it sounds like a simple task, it's not easy to execute, because of the multiple responsibilities lab managers have. In addition, it's not always clear, when an order item is supposed to be received. Solution Luckily, LabSuit has a creative solution for that. LabSuit uses a data-oriented approach.      For that approach to work,  a lab member needs to order a few times from a specific vendor. Eventually, LabSuit knows how fast the order is marked as received, the more orders are made from that vendor, the more accurate an average time-to-receive is. For example, let's say a lab manager ordered 17 items for a specific vendor in the past. Based on this historical data, LaSuit knows that items from that vendor, on average were marked as received after 8 days, which pretty accurately describes how things are working at that specific lab. So if it