2438@ROM

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2438@ROM

2438@ROM

@t2438

ROMり続けます

Tokyo Katılım Kasım 2009
348 Takip Edilen806 Takipçiler
2438@ROM retweetledi
2438@ROM retweetledi
병참과의 총기봇
병참과의 총기봇@Qudckarhk·
이 트윗이랑은 결이 다르긴 한데 3국의 젓가락 중에서 투척용으로 쓰기에는 한국 젓가락이 제일 좋다고 단언할 수 있습니다. 어느 정도로 좋냐: 학교에서 학교 벽에다가 젓가락 던져서 꼽는 놀이가 유행해서 금지시킨 학교가 나올 정도
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自衛隊医官だった人@ハイライトも見てってよ@AiPinfu2003

中国人と韓国人に聞きたいんだけど、他の国の箸は使いづらいとか思ってるの? 私は中国の箸は長くて慣れないし、韓国の鉄の箸も慣れない。 だから逆に日本の箸も他の箸文化の国からしたら使いづらいんじゃないかなって疑問なんだよね。 他文化をディスる意味ではなくただ意見を聞いてみたい。

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Doctors LIFESTYLE
Doctors LIFESTYLE@m3_LIFESTYLE·
【次の一手はアメリカ留学。🛫39歳医学生が揺れながら描く未来像】 36歳で東京科学大学医学部に入学した植田さん。 勉学に勤しみながら、コンサルタントの仕事も好きなクライミングも手放さない、充実した日々を過ごしています。 社会人経験を活かし、若い同級生たちから刺激を受ける現在の医学生ライフ、そして今後の展望についてお話を伺いました。💁 #エムスリー m3.com/lifestyle/open…
日本語
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小豆餅乃部屋 ⚘ ⡱
小豆餅乃部屋 ⚘ ⡱@azukimochi_room·
山の斜面が紅白に染まる長野の桃源郷が素敵すぎる 阿智村 月川温泉郷
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日本語
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レプソってる?
レプソってる?@a_senna_1994·
小川村からおはようございます
レプソってる? tweet mediaレプソってる? tweet media
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Kivanc Birsoy
Kivanc Birsoy@KivancBirsoy·
Our new work by @shanshanliu1218 and @gadmark addresses a fundamental question: how does ER maintain its unique oxidizing environment, while rest of the cell is reducing? Here, we identify SLC33A1 as the major ER GSSG exporter in mammalian cells. nature.com/articles/s4155…
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2438@ROM
2438@ROM@t2438·
あまりに自動生成文章で笑ってしまった が、どういう問いを投げたらこんなに仰々しく出力してくれるのかが気になった
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Biology+AI Daily
Biology+AI Daily@BiologyAIDaily·
Benchmarking MSA pairing for protein-protein complex structure prediction reveals a depth-over-pairing principle 1. The study benchmarks whether “paired MSAs” are truly necessary for accurate protein complex prediction in AlphaFold3, and concludes a practical rule: MSA depth matters more than enforcing correct inter-chain pairing. 2. On a stringent benchmark of 439 non-redundant heterodimers (HD439; filtered to avoid similarity to AF3 training interfaces), adding species-paired MSAs (pMSA) only slightly improves mean DockQ vs unpaired concatenated monomer MSAs (mMSA): 0.613 vs 0.602. 3. The key control is “shuffle pairing” (sMSA): the paired sequences are randomly permuted to break inter-chain coevolution while preserving depth and composition. sMSA matches pMSA almost exactly (mean DockQ 0.612; P=0.96), implying the small gain from pMSA is largely due to extra sequences (depth), not correct pairing constraints. 4. Inter-species complexes are substantially harder than intra-species ones (pMSA mean DockQ 0.545 vs 0.632), consistent with weaker or absent coevolution and much shallower paired MSAs. Notably, for inter-species targets, sMSA can outperform pMSA (0.561 vs 0.545), suggesting species-based pairing can inject incorrect constraints/noise. 5. A depth-maximizing strategy, uMSA, merges the monomer MSAs with the raw UniProt hits used for pairing but without pairing. uMSA achieves the best overall mean DockQ on HD439 (0.623), outperforming pMSA/sMSA, and helps both intra- and inter-species subsets. 6. Case studies show why depth helps: when one chain has a shallow MSA, monomer folding degrades and complex docking collapses; adding many homologs (even unpaired) restores monomer quality and enables accurate docking. uMSA can also improve “MSA quality” under fixed input limits by enriching medium-identity signal and reducing low-identity noise. 7. Mechanistic interpretation: AF3 can succeed without explicit inter-chain coevolution because (i) interfaces can be determined by physicochemical/shape complementarity once monomers are well constrained by deep MSAs, and (ii) AF3’s architecture (MSA module + deep Pairformer triangle updates) can iteratively recover latent interaction patterns from mixed signals, reducing dependence on explicit pairing. 8. Alternative pairing methods (annotation-based Distance/STRING/PDB and PLM-based pairing variants) provide only minor differences; default species pairing is slightly best among pairing methods, but the core result persists: uMSA (more homologs, no pairing) is consistently competitive or better. 9. External validation with omicMSA (very deep MSAs from unassembled reads/draft genomes) supports the principle: big gains come from deeper sequence resources. Shuffling paired sequences remains comparable to pairing for most targets, and a fully unpaired concatenation of omicMSA subunit MSAs (oMSA) slightly outperforms paired omicMSA on average. 10. The paper also maps failure modes: accuracy drops with very large complexes (linked to AF3 crop/token limits), with small relative interface areas (transient/IDR-rich interactions), and for lower-quality experimental references (notably low-resolution cryo-EM and NMR ensembles). It also shows pairing is more important for AFM and RF2 than AF3, tying pairing sensitivity to architecture depth/updates; for AFM, pooling models from multiple MSA modes can improve results. 📜Paper: biorxiv.org/content/10.648… #AlphaFold3 #ProteinComplex #MSA #Bioinformatics #ComputationalBiology #StructuralBiology #ProteinProteinInteractions #DeepLearning
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двойное ничто
Дорогие жители Японии👋😊🇯🇵 Приготовил суши🙏😑 Я всё сделал правильно??
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Bilu Huang
Bilu Huang@BiluHuang·
On April 16, 2026, the research group led by Alex Gao from Stanford University published a paper in Science entitled Protein-templated synthesis of dinucleotide repeat DNA by an anti-phage reverse transcriptase. This study identified and characterized for the first time a bacterial reverse transcriptase named Drt3b, which does not require a nucleic acid template. Instead, it uses its own amino acid side chains as a "template" to precisely synthesize DNA of specific sequences. This discovery represents another landmark breakthrough in the fundamental rules of biological information transfer since the discovery of reverse transcriptase by Nobel laureate David Baltimore and others in 1970. It not only fills a key gap in our understanding of biological information flow, but also opens a new dimension for deciphering the coding principles of life. Congratulations to Team Gao on their outstanding work—this discovery is worthy of a Nobel Prize!
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安田峰俊
安田峰俊@YSD0118·
正直、幸福実現党と握手してる(民進党)くらいなら習近平と握手してる(国民党)ほうが政治家としてはまだマシなんじゃないのかという地獄の様相ではある
安田峰俊@YSD0118

台湾の主要政党 民進党…「台湾への愛」以外の部分はガバガバに雑で軽い 国民党…「民国への愛」以外の部分はガバガバに雑で軽い 民衆党…上記両党に嫌気が差した人に支持され、台湾への愛や民国への愛すらガバガバに雑で軽い

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マネージャー森
マネージャー森@bunnykoujou·
近年中国製以外のパソコンなんて見たことない。 これって結局「99%中国で作り、最後のネジ1本だけを日本で止めました」という「なんちゃって日本製」が採用されるということだろ。 未だにNECのPC-98シリーズが世界を席巻していると思っているバカな人達。
日本経済新聞 電子版(日経電子版)@nikkei

自治体のIT機器、中国製品を排除 政府の認定品のみ使用可能に nikkei.com/article/DGXZQO…

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NatureStructMolBiol
NatureStructMolBiol@NatureSMB·
New online! Calcium dependent activation of the TMEM16F scramblase and ion channel dlvr.it/TS5CSt
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Keita Masui
Keita Masui@keita_masui·
再挑戦。Rocheがデュシェンヌ型筋ジストロフィー遺伝子治療薬Elevidysの新たなPhase 3試験を開始すると発表。欧州などでの承認獲得を目指す。物議を醸した治療薬の巻き返し戦略が注目される。endpoints.news/roche-to-start… #遺伝子治療 #デュシェンヌ型筋ジストロフィー #Roche @endpts
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Leo Wan
Leo Wan@LeoWanPhD·
What is this new cool application? Fusing miniproteins together as an alternative to PROTACs.
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