Highly Accurate Estimation of the Fold Accuracy of Protein Structural Models 1 DeepUMQA-Global is presented as an independent single-model estimator for global fold accuracy of protein structural models, targeting a key bottleneck: reliably ranking/selecting the best model among many predictions without relying on the predictor’s own confidence head or large model pools. 2 The central innovation is a structure–sequence cross-consistency mechanism that quantifies bidirectional compatibility: (i) structure-conditioned sequence plausibility and (ii) sequence-conditioned structural priors, aiming to better detect fold-level errors in complex assemblies and interfaces. 3 The method outputs two global scores: pScore for whole-complex accuracy and ipScore for interface accuracy (interfaces defined via inter-chain atoms within 5 Å). Training supervision uses TM-score to emphasize global correctness and practical model ranking. 4 Feature design combines three complementary categories: sequence features (input sequence SAGS SALS), structural features (SASP distance/orientation maps), and physicochemical features (SASA, VTIO, and extensive geometry/energy descriptors including Rosetta terms, torsions, Euler angles, voxelization). 5 Two standout bidirectional features are emphasized: SAGS from ProteinMPNN embeddings (structure→sequence preferences capturing global fold-conditioned residue distributions) and SASP (sequence→structure priors from template-derived distance distributions retrieved using an AlphaFold3-predicted structure as a search query, plus entropy as uncertainty). 6 Architecture processes residue-wise and pairwise information in parallel: a GAT encodes 1D node embeddings over a Cα 15 Å graph; a 2D CNN plus row–column attention encodes 2D pair embeddings; then a gating step uses the single (node) representation to modulate the pair representation before global aggregation into pScore/ipScore. 7 On an AlphaFold3-generated CASP16-derived test (26 complex targets; <3000 residues; excluding two dynamic targets), DeepUMQA-Global reports higher agreement with ground-truth TM-score than AlphaFold3 self-assessment: Pearson 0.453 vs 0.287 ( 57.8%), Spearman 0.371 vs 0.249 ( 49.0%), ROC AUC 0.614 vs 0.568 ( 8.1%); per-target gains occur for most targets. 8 For antibody–antigen complexes (8 targets), it also reports improved ranking over AlphaFold3 self-assessment (Pearson 0.645 vs 0.415; Spearman 0.581 vs 0.369; ROC AUC 0.725 vs 0.633), while noting remaining challenges at flexible immune interfaces (e.g., CDR flexibility and weak coevolution signals). 9 In a CASP16 retrospective EMA benchmark (30 targets after filtering), DeepUMQA-Global ranks as the top single-model method for both SCORE (fold/topology) and QSCORE (interfaces), and is reported to be competitive with consensus-based methods, especially in selecting near-native top models (strong Loss/Top1Loss behavior). 10 A lightweight consensus extension, DeepUMQA-Global-Con, uses DeepUMQA-Global to pick the top 5 models as a reference subset and averages US-align similarities; it is reported to rank first among all CASP16 EMA participants while scaling ~O(N) rather than O(N²) typical of full all-vs-all consensus. 11 Ablations attribute major performance to SASP (largest drop when removed) and SAGS (second-largest), and to the 2D CNN module (largest architectural drop), supporting the claim that combining sequence-conditioned structural priors with structure-conditioned sequence plausibility is key for global accuracy estimation. 12 Beyond static evaluation, the paper tests alternative conformations: on CASP16 target T1249 (closed vs open trimeric spike), DeepUMQA-Global is reported to select strong top models for both states and to discriminate models in mixed-state pools; on 91 CoDNaS apo–holo pairs it yields more consistent state-to-state scores than a prior method (MViewEMA), suggesting potential for dynamic conformation EMA. 📜Paper: biorxiv.org/content/10.64898… #ProteinStructure #CASP16 #AlphaFold3 #ModelQualityAssessment #EMA #ProteinComplexes #DeepLearning #StructuralBiology #ComputationalBiology #Bioinformatics

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The IPScore AI tool is a writer's best friend. It doesn't just critique; it helps you optimize your story for the best audience engagement. @mugafi is essentially giving every creator a "superpower" to help them succeed in a crowded market. #mugafi

In the crypto world, DYOR is hard. IPScore does the heavy lifting by analysing over 20,000 scripts and cultural trends to score projects for commercial viability before they hit the launchpad. It’s On-Chain Risk Mitigation. AI filters the noise, blockchain secures the value. Institutional-grade vetting, available for the retail community. The alpha is in the data. 🚀📈 @mugafi #Mugafi

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Well-written piece by @Ssentongo_ on IPSCORE: How a Ugandan Innovation signals a New Future for Cultural Finance By Patrick Ssentongo cfcafrica.org/ipscore-how-a-…

Nov 28th Avax News Ecosystem & Dev 🔺 Avalanche Introduces Powered By AVAX Directory — New showcase highlights custom L1s and projects across payments, tokenization, gaming. DeFi 🔺 BENQI Emphasizes sAVAX as Liquidity Standard — Positions sAVAX as leading liquid staking token for Avalanche DeFi integrations. 🔺 AboreanFi Hits $500M Volume — Largest DeFi protocol on AbstractChain achieving milestone. Gaming 🔺 YOM Integrates with Avalanche for Gaming — Enables fast, low-cost transactions; planning subnet for optimized performance and gas fees. 🔺 AveForge Builds Game-First Product — Focuses on core game with crypto trading layer for items, degen betting for e-sports. 🔺 AbstractChain Ecosystem Updates Multiple Projects — Includes Pengu Clash SBT, MyriadMarkets $100M volume milestone, new game seasons. 🔺 playgigaverse Wins Games’ Choice Award — AbstractChain gaming dominance confirmed. 🔺 Avalanche x Helika accelerator confirms first cohort of 5 studios — PocketGamer reports that five early-stage teams have been selected from 100 applicants for the 12-week Avalanche x Helika Game Accelerator, receiving funding, data-driven growth support, and a Demo Day to pitch publishers and investors Community & Culture 🔺 Media narratives highlight Avalanche as regulated tokenization hub — Analyses of the Securitize deal describe Avalanche as a leading chain for compliant tokenization and institutional adoption, citing its prior role in large tokenized funds and banking pilots. Events 🔺 AvaxTeam1 Hosts GoKiteAI Discussion — Deep dive into shaping future of AI economies with Head of DeFi. 🔺 Hack2Build: Payments x402 hackathon live on Avalanche — The official Avalanche hackathon page lists “Hack2Build: Payments x402” as an ongoing online event (Nov 27, 2025) with a $25K prize pool, focused on payments and x402-style applications built on Avalanche. Infra / Custom L1s 🔺 Avail Nexus Mainnet Live Supporting Avalanche — Unifies ecosystems including AVAX for seamless cross-chain execution. 🔺 Mugafi and Redacted Launch On-Chain Entertainment IP Platform — Tokenizes $1B in films, anime, music; uses AI IPScore on Avalanche. 🔺 Token Terminal Lists New Tokenized Assets — Includes BENJI, bIB01, EUR0P, MXNB, reUSD, USDe, VCHF, VEUR, XAUT, XSGD on Avalanche. 🔺 Avalanche9000 Upgrade Reduces Chain Deployment Costs — 99.9% cost reduction, dynamic gas fees, and permissionless validators now live. 🔺 Securitize wins EU approval and selects Avalanche for tokenized securities TSS — Securitize secures authorization under the EU DLT Pilot Regime and will run a regulated trading and settlement system for tokenized securities on Avalanche, making it one of the first firms with fully licensed tokenization infrastructure spanning both the US and EU.

And when connecting your proxy make sure you use antidetect browser like brave for phone and more login for system and use sites like whoer.net, Scamalytics and ipscore to check if your anonymity is valid

That’s why when you check an oip from Windscribe, PIA, Nord, and the high speed ips on mysterium, when you check their fraud score on sites like scamalytics, ipscore, etc it will surely have high fraud scores of up to 100 in many cases.

If you have followed these steps then everything should go well. Tip on Using Mysterium Vpn for better performance. Make sure you always switch to RESIDENTIAL IP on the app before proceeding to load the website. Also, always check sites like scamalytics, ip data, ipscore, etc

Just to add to this, After connecting to your Ip, if you have dingtone call app, click on connect brands. If it shows you tasks to earn, your ip is good. if not, it will tell you to disable vpn. So after using ipscore, still verify on dingtone.

There’s a lot of sight to learn the strength of an IP but my favorite is ipscore Ipscore.io

TODAY: DDD seminar, Tue. Aug. 13, 2024 @ 1pm Eastern US: Dr. Timothy Arthur (from Dr. Kelley Frazer's group at UCSD) speaks on QTLs and GWAS variants through the study of many iPSC lines in the iPSCORE project. seminar info: carlocolantuoni.org/seminar

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We were excited to hear that @MaineHealth is joining the IDeA State Consortium for Clinical Research Resource (IPSCORE-RC), and then even more excited to hear that our lab leader, Cliff, will lead this work! Congrats to all involved! @NIH

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