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Enterprise AI Analysis: Enhancing functional proteins through multimodal inverse folding with ABACUS-T

Research & Innovation Analysis

ABACUS-T: Revolutionizing Protein Engineering with Multimodal Inverse Folding

ABACUS-T addresses a critical challenge in protein engineering: enhancing structural stability without compromising functional activity. By integrating detailed atomic sidechains, ligand interactions, pre-trained protein language models, multiple backbone conformational states, and evolutionary information, ABACUS-T achieves superior precision and functional preservation. This breakthrough allows for the simultaneous mutation of dozens of residues, leading to substantial improvements in thermostability and catalytic activity with minimal experimental screening.

Executive Impact: Key Achievements of ABACUS-T

ABACUS-T demonstrates significant advancements in protein engineering, delivering tangible results for complex biological challenges.

0 Higher Affinity Achieved
0 Thermostability Increase
0 Residues Mutated Simultaneously

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Inverse Folding Methodology

Traditional inverse folding often struggles with functional preservation. ABACUS-T introduces a novel multimodal approach that decodes both residue types and sidechain conformations at each denoising step. This self-conditioning, combined with large pre-trained language models like ESM, significantly improves the recovery rates of functionally important pocket and catalytic residues. It represents a significant leap forward in generating foldable and functionally active sequences.

Multimodal Integration

ABACUS-T unifies several crucial data types: detailed atomic sidechains, ligand interactions, multiple backbone conformational states, and evolutionary information from multiple sequence alignments (MSA). This comprehensive integration allows the model to capture complex spatial contexts, residue-residue interactions, and functional constraints, leading to more robust protein redesign than previous single-modality models.

Functional Enhancement

Beyond stability, ABACUS-T demonstrates its ability to preserve and even improve catalytic activity. Case studies show redesigned enzymes maintaining or surpassing wild-type activity, and an allose binding protein achieving 17-fold higher affinity. This capability to design sequences that balance stability with function, without explicit manual fixation of functional residues, marks a substantial advancement for biotechnological applications.

17X Higher Affinity Achieved for Allose Binding

Enterprise Process Flow

Noised Sequence Input
Predict Residue & Sidechain Types
Re-mask Low Confidence Positions
Iterative Denoising & Refinement
Functional Protein Output

Comparative Performance: ABACUS-T vs. Other Models

Metric ABACUS-T ProteinMPNN ESM-IF LigandMPNN
Overall Sequence Recovery Rate 0.63-0.65 0.55-0.56 0.59-0.59 0.53-0.54
Pocket Residue Recovery Rate 0.75-0.76 0.55-0.54 0.62-0.61 0.61-0.60
KL Divergence (Residue Comp.) 0.008 0.042 0.035 0.018
Predicted PLDDT Scores (Higher is Better) 83.8-85.4 82.1-84.5 82.0-83.5 83.9-85.7
Predicted scRMSD (Lower is Better) 2.79-1.70 3.03-1.76 2.96-1.93 2.72-1.70

Case Study: High Thermostability Xylanase

ABACUS-T was used to redesign endo-1,4-β-xylanase, an enzyme crucial for biomass degradation. While natural xylanase lost 86-99.9% activity after 10 min at 40-60°C, the ABACUS-T designed variant (pxyl3-0.5), with 63 mutations, maintained over 50% residual activity even after 50 min at 80°C. Its melting temperature (Tm) increased from 41°C to 60°C, and it exhibited full reversibility of thermal denaturation, restoring 100% activity. This demonstrates ABACUS-T’s capacity to engineer enzymes for extreme conditions without compromising catalytic function, achieving enhancements that would be unfeasible with traditional step-wise mutation approaches.

Case Study: Robust TEM β-Lactamase

TEM β-lactamase was redesigned with ABACUS-T to improve resistance to harsh conditions. The designed variant 'tlact2' exhibited a remarkable increase in melting temperature (Tm) from 49°C to 72°C. Critically, variants like 'plact2-0.5' showed over two times higher catalytic activity than the natural protein at room temperature, while 'plact2-0.2' retained ~75% activity after 60 min at 50°C. This highlights ABACUS-T's ability to navigate the trade-off between stability and catalytic activity, producing highly functional and stable enzymes through extensive, simultaneous mutations.

Case Study: Altered Substrate Specificity in OXA β-Lactamase

ABACUS-T was applied to OXA β-lactamase to rationally alter its substrate selectivity for three different β-lactam substrates: cefotaxime, ceftazidime, and imipenem. The designed enzymes successfully shifted selectivity, with variants showing significantly enhanced activity for their target substrates (e.g., ceftazidime variants showed 8-10 times higher activity than native). Simultaneously, these redesigned proteins achieved hyper-thermostability, with melting temperatures (Tm) exceeding 90°C, far surpassing the native enzyme's 52°C. This multifaceted engineering, achieving both altered function and extreme stability, demonstrates ABACUS-T's potential for developing enzymes with custom substrate profiles for specific biotechnological applications.

Calculate Your Potential ROI with ABACUS-T

Estimate the transformative impact of ABACUS-T on your protein engineering projects. Our advanced inverse folding capabilities can drastically reduce development costs and accelerate time-to-market.

Estimated Annual Savings
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Scientist Hours Reclaimed Annually
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Our Proven ABACUS-T Implementation Roadmap

A phased approach ensures seamless integration and maximum impact for your enterprise. From initial analysis to full-scale deployment, we guide you every step of the way.

Phase 1: Discovery & Design Consultation

Comprehensive analysis of your target protein, functional requirements, and stability goals using ABACUS-T's multimodal inputs (structure, ligand, MSA, conformational states). We define project scope and success metrics.

Phase 2: AI-Driven Sequence Generation

Leveraging ABACUS-T to generate diverse candidate protein sequences, simultaneously optimizing for stability, function, and desired properties. Iterative computational screening identifies top-performing variants.

Phase 3: Experimental Validation & Refinement

Rapid synthesis and experimental characterization of top candidates (e.g., thermostability, activity, affinity). ABACUS-T's minimal screening requirements accelerate this crucial step.

Phase 4: Optimization & Production Scaling

Further fine-tuning of lead candidates and guidance on scaling up production for industrial application, ensuring your engineered proteins deliver sustained value.

Ready to Transform Your Protein Engineering?

Partner with OwnYourAI and harness the power of ABACUS-T to accelerate your research and development. Schedule a personalized consultation to explore how our solutions can meet your specific enterprise needs.

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