#sequence

Mike McCarthy shares a regret during an offensive sequence against the Browns

The Homies Put Hands And Feet On Bruh😂 #viral #sequence #explorepage #fight #bar

Trick or Treat! Here's Asuna's super duper busty growth drive as a full breast expansion sequence! Did we go too far? do you have any favorite size? She loved them all and so did I! #breastexpansion #sequence #grow

[#️⃣] HASHTAG PARTY We’re officially one hour away from AND2BLE’s first comeback with the 2nd Mini Album 'Sequence 01: Attraction'! Join us in trending the hashtags below as we count down to the release of the MV & Album! 💛 Q&A. What's your favorite album concept version? Name 5 color combinations. Name 5 props from the concept photos. RT & REPLY with the tags below ⬇️⬇️⬇️ FRENCH KISSING OUT NOW #AttractionReleaseParty #AND2BLE_FrenchKissing #앤더블

앤더블 "팬 사랑 실감한 데뷔 활동, 컴백도 함께할 수 있어 기쁘다" #앤더블 #AND2BLE #컴백 #쇼케이스 #iMBC연예 앤더블(장하오, 유승언, 리키, 김규빈, 한유진)의 두 번째 미니앨범 '시퀀스 투: 어트랙션(Sequence 02: Attraction)' 발매 기념 쇼케이스가 27일 오후 서울 용산구 블루스퀘어 우리WON뱅킹홀에서 진행됐다. MC로는 유재필이 활약했다. '시퀀스 02: 어트랙션'은 앤더블이 지난 5월 발매한 '시퀀스 원: 큐리오시티(Sequence 01: Curiosity)' 이후 5개월 만에 발표하는 신보. 전작에서 시작된 '호기심'이 특정 대상에 대한 '관심'으로 확장되고, 마침내 자연스러운 '끌림'으로 이어지는 감정의 변화를 담는다. 🔗

Despite the win over the Browns, Mike McCarthy acknowledged the Steelers' offense had a really bad sequence.

AND2BLE (앤더블 / エンダブル) is a 5-member global boy group under YH Entertainment. The members are Zhang Hao, Yoo Seungeon, Ricky, Kim Gyuvin, and Han Yujin. They debuted on May 26, 2026, with their 1st mini album, “Sequence 01: Curiosity” and “Curious” MV released

210109🔍[예능연구소 세로캠] '#아이즈원 - #Sequence' #김민주 ▶ #안유진 ▶ #이채연 ▶ #김채원 ▶ #최예나 ▶ #쇼음악중심 #음중 #IZONE @official_izone

[HT] #AND2BLE (@AND2BLE) 1st Day Sales Sequence 02: Attraction ㅡ 523,970 🆕️  Sequence 01: Curiosity ㅡ 157,216

[#WJSN] #우주소녀 SPECIAL SINGLE ALBUM #Sequence 🫧 #CONCEPT_PHOTO Take 1 Ver. 2022.07.05 #COMING_SOON 🫧💙 #Last_Sequence #라스트_시퀀스 #WJSN_Sequence #우주소녀_Sequence #우주소녀_시퀀스 #COMEBACK #우주소녀_컴백

#더쇼 가 좋아하는 것들 매달앚둥♡ ⭐ ✨ 🎄 🎄♡꙼̈🎄 ❄ 🎄 💜 🎄 🎄🍑🌸 🎄 ❄ 🎄#아이즈원 🎄 🎄💛🪶💚🤍 🎄 ✨ 🎄💙🥖🍊🧚🏻 🐰🎄 🎄🎄🎄🎄🎄🎄🎄🎄 🎁🎁🎁 #Sequence @official_izone

[#WJSN] #우주소녀 SPECIAL SINGLE ALBUM #Sequence 🫧   #CONCEPT_PHOTO Scene Ver. 2022.07.05 #COMING_SOON 🫧💙   #WJSN_Sequence #우주소녀_Sequence #우주소녀_시퀀스 #COMEBACK #우주소녀_컴백

This week we're rereleasing a new 1080p edit of all of Loguetown! We've rearranged all episodes to allow for a manga-accurate experience -The Roger bar sequence is now in Loguetown 01's new extended cut -The Daddy Masterson story is now in the new optional episode Loguetown 01.5

Life’s too short to miniprep a clone you’re just going to throw away. 🗑️ What if you knew which clones were correct before you ever reached for a miniprep kit? With Plasmidsaurus ZeroPrep Colony Sequencing, you can send colonies or liquid cultures instead of purified DNA and get a fully annotated plasmid sequence back overnight. And because it’s amplification-free, there’s no bias to hide any mutations you’re trying to catch 👀 Our latest blog post covers three ways to fit ZeroPrep into your week, from skipping unnecessary minipreps to verifying clones the same afternoon at select local dropboxes. 👇

General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3 1. Woods et al. show that AlphaFold 3 can predict MHC:peptide:TCR ternary structures accurately enough to enable sequence-based TCR specificity prediction against unseen epitopes, a long-standing bottleneck for translating large-scale TCR sequencing into actionable antigen maps. 2. Structural benchmarking on 284 solved PDB triads (214 class I, 70 class II) indicates strong generalization: median CDR-focused RMSD was ~1.5–1.8 Å for pre-cutoff structures and ~3.2 Å (class I) / ~2.4 Å (class II) for post-cutoff structures, outperforming AF2-multimer-based AF-TCRdock by ~0.8–2.9 Å depending on split/class. 3. While interface placement is hardest, AF3 predicts individual components very well (typical median RMSDs ~0.4–1.0 Å for TCR and MHC chains; peptides also strong, with class II post-cutoff peptides the main weaker case). This supports a workflow where AF3 provides reliable building blocks plus a plausible docked triad. 4. A key idea is to treat AF3’s own uncertainty as a specificity signal. AF3 confidence outputs (notably interface-related predicted alignment error, PAE, and ipTM) correlate with true structural error, enabling structure-free scoring when no experimental structure exists. 5. They scale this to IEDB: 7702 class I and 1625 class II cognate triads, paired with large permuted noncognate sets (157,025 class I and 33,628 class II). Data leakage is controlled by excluding triads homologous to pre-AF3 PDB training-era structures and excluding validation-homologs from training. 6. Feature engineering spans ~50 AF3-derived metrics: global summary scores (pTM/ipTM/ranking), local pLDDT slices, interface PAE/contact-probability summaries, and docking-geometry parameters (plus a geometry z-score relative to known PDB docking distributions). To avoid over-weighting highly duplicated literature entries, evaluation is resolved at the “antigen-study combination” level. 7. The best single discriminator is an interface uncertainty feature: AF3-PTI-PAE, derived from mean PAE at the peptide:TCR interface (inverted because lower PAE implies higher confidence). Ensemble models (Random Forest/XGBoost) did not consistently beat this, suggesting the signal is strong but highly correlated across features and easy to overfit. 8. The paper highlights important dataset heterogeneity: classifier performance depends strongly on assay type in IEDB. “Binding assay” entries are highly separable (median AUC ~0.93–0.94), whereas multimer/tetramer-derived assignments are much closer to random in aggregate (median AUC ~0.61 class I; ~0.52 class II), implying varying reliability and/or affinity regimes across assay modalities. 9. AF3-PTI-PAE tracks binding strength: across IEDB triads with measured Kd (mostly class I; spanning ~260 pM to ~670 μM), higher-confidence scores associate with tighter binding. Engineered high-affinity TCRs score particularly strongly, consistent with the method being more sensitive for higher-affinity interactions. 10. Held-out validation on higher-confidence sets shows generalization to unseen antigens. Class I: 16 post-cutoff PDB cognate triads across 14 antigens yield antigen-centric AUCs 0.50–1.00 (median 0.92). Class II: 205 CRESTA-derived cognate triads across 8 Mycobacterium tuberculosis antigens (no structural characterization; strictly unseen) yield AUCs 0.71–0.91 (median 0.81). Performance does not correlate with distance to AF3 training data, supporting genuine generalization. 💻Code: 📜Paper: #Immunology #TCR #AlphaFold3 #StructuralBiology #ComputationalBiology #MachineLearning #AntigenSpecificity #MHC #SingleCell #Bioinformatics

귀에 맴도는 '울랄라'…앤더블, '프렌치 키싱'으로 첫 컴백 활동 돌입 [종합] #앤더블 #울랄라 #프렌치키싱 #컴백 #iMBC연예 '시퀀스 02: 어트랙션'은 앤더블이 지난 5월 발매한 '시퀀스 원: 큐리오시티(Sequence 01: Curiosity)' 이후 5개월 만에 발표하는 신보. 전작에서 시작된 '호기심'이 특정 대상에 대한 '관심'으로 확장되고, 마침내 자연스러운 '끌림'으로 이어지는 감정의 변화를 담는다. 앤더블로 첫 컴백 활동에 나서게 된 장하오는 "지난 데뷔 활동은 팬들에게 내가 사랑받고 있다는 걸 실감한 순간이었다. 덕분에 건강하고 행복하게 활동을 마무리할 수 있었다. 첫 컴백인 만큼 우리가 얼마나 성장했는지 빨리 보여드리고 싶다"라는 소감을 밝혔다. 🔗

From Sequence 01 to Sequence 02, AND2BLE keeps leveling up. Let’s reward that growth with a strong Fans’ Choice ranking! #AND2BLE #2026MAMAVOTE

Five familiar faces, one new K-pop group. AND2BLE debut with 'Sequence 01: Curiosity,' led by the EDM and future house single "Curious." Zhang Hao, Yoo Seungeon, Ricky, Kim Gyuvin and Han Yujin join forces.

AND2BLE officially becomes a million-selling boy group, surpassing 1.25 million combined album sales with ‘Sequence 01: Curiosity’ and ‘Sequence 02: Attraction’. #AND2BLE #앤더블 @AND2BLE

blockchains scale by adding layers, but connection isn’t about stacking more, it’s about syncing what already exists. speed matters, but not when every chain moves out of rhythm, security matters, but not when trust depends on one sequencer, growth matters, but not when coordination breaks apart. meet espresso. @espressosys builds the confirmation layer that brings rhythm back to the network, where rollups can share sequencing, finality happens in seconds, and cross-chain actions feel like one continuous flow. instead of separate systems fighting for order, every part of the stack starts to align, execution, data, and consensus all moving together like signal and echo. because progress isn’t about more chains, it’s about shared movement. this is espresso, where scaling meets harmony.