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Biology+AI Daily

@BiologyAIDaily · joined 08 Jul 2016

Protein/Antibody Designer, AI for drug design, Deep learning and large language model. Share daily papers on biology + AI

17 703Followers
276Following
9 045Posts total
94.9KViews on collected posts

Derniers posts

Accurate and efficient prediction of protein conformations with ProtMonomer 1. ProtMonomer is built around a simple training insight: protein structure predictors trained under different MSA-depth distributions (i.e., different levels of evolutionary information) generalize http 1.9K views · 39 likes · 6 reposts · 1 replies Open on X →
Accurate and efficient prediction of protein conformations with ProtMonomer 1. ProtMonomer is built around a simple training insight: protein structure predictors trained under different MSA-depth distributions (i.e., different levels of evolutionary information) generalize http 1.5K views · 14 likes · 3 reposts · 0 replies Open on X →
CIR-DDG: Backbone-agnostic residual correction of antibody–antigen affinity changes with explicit cross-chain geometry 1. The paper introduces CIR-DDG, a small “output-space adapter” that corrects any existing ΔΔG predictor using explicit cross-chain geometry, without retraining 1K views · 8 likes · 1 reposts · 0 replies Open on X →
CIR-DDG: Backbone-agnostic residual correction of antibody–antigen affinity changes with explicit cross-chain geometry 1. The paper introduces CIR-DDG, a small “output-space adapter” that corrects any existing ΔΔG predictor using explicit cross-chain geometry, without retraining 828 views · 5 likes · 0 reposts · 0 replies Open on X →
@BiologyAIDaily @GoogleDeepMind breaking fully Motifs self-assembling 70 views · 0 likes · 0 reposts · 0 replies Open on X →
@BiologyAIDaily @GoogleDeepMind 9 71 views · 0 likes · 0 reposts · 0 replies Open on X →
@BiologyAIDaily @GoogleDeepMind Can you please post on BkueSky so that we can all move away from X? Your page is the only reason I keep X 🙏 441 views · 3 likes · 0 reposts · 0 replies Open on X →
Breaking: The official release of educational guides for AlphaFold Server from @GoogleDeepMind https://t.co/R00qGf0ZQ0 These tutorials aim to assist new users in gaining a deeper understanding of the latest AlphaFold version’s capabilities and maximizing the potential of https:/ 89.1K views · 267 likes · 72 reposts · 7 replies Open on X →

Face aux comptes de taille comparable

4 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes1 248ce compte924médiane pour 10K–100K
Portée, %7.05%ce compte3.62%médiane pour 10K–100K
Engagement, %1.02%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post1 2489241.35×
Portée (vues ÷ abonnés)7.05%3.62%1.95×
Taux d'engagement1.02%1.52%0.67×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

89.1K18 Oct
4415 Dec
7130 Nov
704 Jan
8283 Sep
1K
1.5K
1.9K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.39%18 Oct
0.68%5 Dec
0.00%30 Nov
0.00%4 Jan
0.60%3 Sep
0.89%
1.15%
2.36%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes51.1%336 in total
Reposts12.5%82 in total
Replies1.2%8 in total
Quotes0.6%4 in total
Bookmarks34.7%228 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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