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Yaniv Erlich Profile picture
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23 Dec, 11 tweets, 3 min read
Want to produce Paxlovid, Pfizer's new antiviral?

All you need to do is to follow the simple process in the short thread below.
Step 1:
Step 2:
Step 3:
Step 4:
Step 5:
Step 6:
Step 7:
Step 8:
Step 9:
That's it! You made it.
Wasn't that hard, right?

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More from @erlichya

Yaniv Erlich Profile picture
24 Dec
מאמר סופר מעניין על המכניזם של cell entry באומיקרון לעומת דלתא ו wuhan ולמה הוא אולי פחות וירולנטי. שרשור קצר שמסביר מה הולך כאן.

biorxiv.org/content/10.110…
כולנו שמענו על Spike ועל כך שהוא נקשר ל ACE2 כדי להכנס לתוך התאים. אבל התהליך הזה הוא מאד לא פשוט. כמו שאתם מכניסים מפתח לתוך מנעול וצריכים קצת לנער את המפתח שיכנס בקלות, גם הספייק צריך קצת דרגות חופש כדי להיקשר טוב ל ACE2 ולבצע את הכניסה לתא.
כאן מגיע לעזרתו של הספייק רצפטור נוסף שנקרא TMPRSS2. הרצפטור הזה הוא פשוט סכין שחותכת חלבונים. הוא חותך את הספייק כמו שחותכים במודעת תלישה וזה ונותן לספייק עוד דרגות חופש שהוא צריך לקישור מיטבי ל ACE2.
Read 9 tweets
Yaniv Erlich Profile picture
22 Dec
Most people don't appreciate that we are basically beyond GATTACA wild's dream of tracing people using DNA.

A short thread 1/5 🧵
👇
If you recall, the police in GATTACA has access to Vincent's (the protagonist) eyelash. However, they can't identify him since he is not in any database.
2/5
We already at the point that nearly all US people can be identified via their DNA despite not being in any police database. How? about 1-2% of the US population took at DNA test that is searchable in 3rd party websites such as GEDmatch. 3/5
Read 5 tweets
Yaniv Erlich Profile picture
6 Dec
Excellent analysis by @IdoIrani about the waning booster effect (for infection) stratified by age group in Israel.

The worrying part: the rate of decline is most age groups is similar to the 2nd jab.
@IdoIrani This tweet is trending. So a few comments 1/2:
1 Data:
datadashboard.health.gov.il/COVID-19/gener…
2. This is a tweet not peer reviewed publication. It is a preliminary analysis with some caveats as described here.
3. The y-axis should be crude VE
4. Some Idiots...
have said that since I am a CEO of a start up and @IdoIrani is a PhD student, the analysis should be disqualified. This is my Google Scholar. Hope it passes your high bar 🤪.
scholar.google.co.il/citations?user…
5-∞. It is a preliminary signal.
Read 6 tweets
Yaniv Erlich Profile picture
3 Oct
Due to popular demand, a thread for the general audience on Molnupiravir, Merck's new treatment for Covid19.

Let's start!
The compound (left) looks like an RNA nucleotide called Cytidine (right) that is found in every cell in nature.

BTW: How do I know it is an RNA nucleotide? You see the two "legs" at the bottom with "OH OH"? If the right leg is OH it is RNA and if it's H, it is DNA. Easy.
The resemblance is nearly perfect except 2 places:
The diff in Blue (isobutylester) is bigger but less important. It's quickly cleaved by an enzyme once the drug is in our body and converted to be identical to a Cytidine.

The "OH" in Red is the magic of this molecule!
Why?
Read 19 tweets
Yaniv Erlich Profile picture
2 Oct
שרשור על מה זה Molnupiravir, התרופה החדשה של Merck כנגד Covid19.
יאללה מתחילים.
הדבר הראשון שרואים היא שהתרופה (משמאל) נראית כמו נוקלאוטיד RNA שנקרא Cytidine ומצוי בכל תא של אורגניזם בטבע (מימין).

אגב, איך אני יודע שזה נוקלאוטידים של RNA ולא DNA? רואים למטה כמו שני רגלים עם OH בכל צד? אז אם הרגל הימנית היא OH, זה RNA, ואם היא פשוט H, אז זה DNA. קל!
הדימיון כמעט מושלם חוץ משני מקומות:
השינוי בכחול הוא לא כזה חשוב לענייננו. מדובר בתוספת שיורדת מהר מאד בגוף על ידי אנזים מיוחד ומחזיר אותנו למצב כמו ב Cytidine רגיל.

השינוי ה OH בחלק שסימנתי באדום הוא הקסם של המולקולה הזאת שהופכת אותה מסתם Cytidine לסוכן כאוס.
איך?
Read 17 tweets
Yaniv Erlich Profile picture
27 Sep
covid19 in 🇮🇱.

Due to ✡️ holiday season, it is hard to get a reliable estimator of R. Previously, I showed that the avg susceptiblity of ISR population (S) is nicely correlated with R. This estimator is not affected by # test but only by # vaxxed and VE.
As a reminder, S(t), the susceptiblity of day t is 1 - Σf_i(t) •VE_i(t). Where f_i(t) is the % of the population that already took the i-th dose and VE is the efficacy of the dose in day t. Both parameters can be in calculated from MoH public dashboard on a daily basis.
So...
So here is S as a func of time (black) versus smoothed R (red). Both are coorelated.

Now, we don't have good data for R in Sep, BUT due to booster, S is in levels similar to Mar 21 (60%)! At that time, it was enough for R=0.9, so I'm cautionally encouraged that we= heading out😍
Read 4 tweets

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