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  6. Array SAR Analysis Tool 'SAR>vision|Biologics'

Array SAR Analysis Tool 'SAR>vision|Biologics'

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Altoris SARVisionBiologics: Sarvision Biologics

last updated:Aug 31, 2022

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We provide a spreadsheet optimized for array analysis! It can handle biopolymers.

"SARvision Biologics" is a desktop application that fills the gaps in existing biologics software. It provides foundational tools for reading and organizing data on biopolymers, as well as various tools to discover the relationships between sequences and activities. A spreadsheet optimized for sequence analysis is provided, allowing for the handling of biopolymers such as nucleic acids, proteins, and peptides, including non-natural amino acids and chemically modified residues. 【Features】 ■ Supports research on peptides, antibodies, and RNA ■ Capable of handling peptides that include non-natural amino acids, cyclization, and chemical modifications ■ Visualization of activity through heat maps ■ Highlights areas of interest *For more details, please refer to the PDF materials or feel free to contact us.

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SAR

Array SAR Analysis Tool 'SAR>vision|Biologics'

SAR vision Biologics_thumbnail.png
SAR vision Biologics_thumbnail.png logo_th2[1].PNG Mutation_Set_th2[1].PNG Subsets_th2[1].PNG
  • Related Link - https://patcore.com/product/sarvision_biologics/
  • Special site - Product/service details - https://pr.mono.ipros.com/patcore/product/

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【Other Features】 ■ Exploration of mutations that significantly impact activity (Logo Plot, Invariant Map, Mutation Cliff) ■ Loading and alignment of sequence data (automatic and manual) ■ Implementation of a numbering algorithm based on ANARCI for automatic numbering of antibodies (compatible with Kabat, Chothia, Enhanced Chothia, IMGT, AHo) ■ Ability to examine hundreds of sequences *For more details, please refer to the PDF document or feel free to contact us.

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【Usage】 ■ Biopolymers such as nucleic acids, proteins, and peptides that contain non-natural amino acids or chemically modified residues. *For more details, please refer to the PDF document or feel free to contact us.

Detailed information

  • LogoPlot.png

    LogoPlot is a general method for summarizing sequence motifs that indicate biological functions. These logos take the form of stacked letters enclosed in rectangles or bars, with heights scaled according to frequencies or some aggregated activities within the dataset. The Y-axis controls the activity field and method used for height scaling. There are two chart styles: sequence logos and sequence bar plots. Sequence logos perform statistics based on a basic set of 20 natural amino acids and scale font sizes. In contrast, sequence bar plots can use any number of monomers for scaling based on the data.

  • Mutation_Set_th2[1].PNG

    The mutation set indicates the relationship of sequence activity at specific positions. It can identify all sequences that are identical except for a single position. The mutation set family forms a series where the substitution pattern at a single position directly correlates with changes in activity. This provides confidence that the correlation is realistic and significant, as all confounding mutations or mutations located elsewhere in the sequence are excluded from the analysis.

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Peptide optimization from sequences using machine learning

Peptide optimization from sequences using machine learning

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Array Correlation Analysis Tool 'SARvision Biologics'

Array Correlation Analysis Tool 'SARvision Biologics'

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Bio data real-time analysis and visualization tool 'BioVisualizer'

Bio data real-time analysis and visualization tool 'BioVisualizer'

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[Free Webinar] Manual Curation Techniques for Accelerating AI/ML Drug Discovery Using SAR and ADME Data | Held on June 11 (Thursday)

[Free Webinar] Manual Curation Techniques for Accelerating AI/ML Drug Discovery Using SAR and ADME Data | Held on June 11 (Thursday)

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In drug discovery research utilizing AI and machine learning, the biggest factor influencing the accuracy of predictive models is "data quality." Excelra and Patcore will co-host a free online webinar on the theme of GOSTAR(TM), which accelerates AI drug discovery, on June 11, 2026, at 13:30. Utilizing GOSTAR(TM), one of the world's largest manually curated SAR databases, the webinar will explain, with live demonstrations, the acceleration of predictive modeling using ML-ready data, improvements in molecular design accuracy in medicinal chemistry, and the establishment of a data foundation that supports go/no-go decisions from lead optimization. The speaker will be Dr. Nishanth Kandepedu from Excelra, who has over 10 years of experience in the drug discovery field. Researchers in drug discovery from pharmaceutical and biotech companies, AI/ML engineers, and R&D leaders are widely invited to participate. Participation is free, but prior registration is required. Registration will close once capacity is reached. ▼Details & Registration: https://patcore.com/news/webinar-gostar-2026

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Patocoa Inc. is a specialized company in drug discovery support systems. Additionally, we focus on improving and streamlining compliance-related operations concerning regulated substances, and we have provided various solutions to pharmaceutical companies, chemical companies, universities, and government agencies. We contribute to accelerating drug discovery and reducing costs with our cutting-edge chemoinformatics systems.

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