TuringDB and CiteAb Announce a Strategic Partnership to Improve Reagent Identification Through Advanced Graph Database Technology

By Skye Longworth

January 22, 2026

Press release – BioPharma Dive – Bath, UK – 22nd January 2026

Leading graph database engine integrates with internationally renowned reagent and experimental model database to accelerate drug discovery research and streamline reagent selection.

TuringDB (formerly Turing Biosystems), creator of the fastest graph database engine for analytical and AI-driven workloads, today announced a strategic partnership with CiteAb, the world’s leading citation-ranked reagent search engine. This collaboration brings together TuringDB’s high-performance in-memory graph database technology with CiteAb’s comprehensive reagent and experimental model data to deliver a revolutionary new service for life science researchers.

The partnership enables researchers to visualise and query CiteAb’s extensive database of over 16M reagents within TuringDB’s knowledge graph format. Combining CiteAb’s citation-based ranking system with TuringDB’s blazing-fast query capabilities, delivers complex graph responses in milliseconds – enabling researchers to streamline reagent selection, reduce experimental waste, and accelerate research timelines.    

Transforming Reagent Discovery Through Graph Technology

CiteAb has spent over a decade identifying and understanding how life science research reagents are used in scientific literature. With citation data for over 8 million antibodies across 650 suppliers, and similar comprehensive coverage across other reagent categories, CiteAb provides a markedly complete and unbiased reagent discovery platform. The platform is trusted by all ten of the world’s top universities and leading pharmaceutical and biotechnology companies globally.

TuringDB’s cutting-edge columnar in-memory architecture, featuring git-like versioning and zero-locking execution, enables researchers to reproducibly navigate complex relationships between reagents, citations, experimental protocols, and research outcomes with unprecedented speed and insight. The platform’s ability to store unlimited properties on nodes and edges makes it ideally suited for representing the rich metadata associated with life science reagents.

“This partnership represents a significant leap forward in how researchers discover and evaluate reagents. TuringDB has been created to manage complexity at scale – especially for life sciences” said Adam Amara, CEO & co-founder at TuringDB. “By integrating CiteAb’s in-depth, citation-ranked data into our graph database engine, we’re enabling researchers to uncover complex connections and insights that would be impossible to identify through traditional search methods.”

Key Benefits

The new integrated service will allow researchers to:

• Visualise complex relationships between reagents, publications, suppliers, and experimental conditions
• Make connections between existing data and externally validated reagent data
• Query multi-dimensional datasets in real-time (millisecond query response)
• Identify optimal reagent choices based on citation patterns and experimental success rates
• Use natural language to query data with evidence based responses

“CiteAb has always been committed to helping researchers find the right reagents that work as they should, reproducibility is a large problem in our industry and we’re doing what we can to alleviate this issue,” said Andrew Chalmers, CEO at CiteAb. “This partnership with TuringDB takes that mission to the next level by enabling researchers to explore our data in entirely new ways through advanced graph visualisation and querying capabilities.”

Demonstrating the Power of Integration

Researchers interested in experiencing how this integrated platform can transform reagent discovery and identification are encouraged to schedule a personalised demonstration.

About TuringDB

TuringDB (formerly Turing Biosystems) delivers the fastest graph database engine for analytical, AI-driven, and read-intensive workloads. Built with a cutting-edge in-memory column-oriented architecture designed for ultra-low-latency multi-hop traversal on production-scale graphs. TuringDB delivers real-time insight across highly connected data without any index tuning or complex setup. With native Git-like version control, every change becomes an immutable commit, enabling full auditability, reproducibility, time-travel queries, and safe branching/merging of datasets for exploratory or scenario analysis. Purpose-built for modern AI systems, TuringDB integrates with GraphRAG, LLMs, agentic workflows, and multimodal data processing pipelines, making it exceptionally well-suited for biological knowledge & data integration in life-science applications. Its high-performance in-memory engine supports complex, multimodal, and multiscale biological graphs (such as interactomes, antibody/antigen relationships, pathways, and experimental metadata) providing researchers with immediate, explainable insight across large and evolving datasets. Learn more at  www.turingdb.ai.

About CiteAb

CiteAb provides world-class data that accelerates scientific research. Our industry-leading data collection technology combines machine learning with extensive human reviewing to understand reagent use from publications, powering all of our services. Our search engine ranks products by citations, fundamentally changing the way researchers find products for their experiments, and our high-quality data services are used by reagent suppliers, investors, publishers and pharma & biotech companies globally. Last year, users from all top 10 universities and pharma companies accessed over 4 million pages on CiteAb, searching more than 16 million reagents. We are a committed group of biologists and computer scientists dedicated to helping the world’s best scientists and suppliers tackle the big problems in life science research. For more information visit www.citeab.com

Contact Information

For demonstration inquiries and partnership details:

Chris Taylor
Senior Business Development Manager
CiteAb
Email: chris@citeab.com
Web:      www.citeab.com

Adam Amara
CEO & Co-Founder

TuringDB
Email: adam.amara@turing.bio
Web: www.turingdb.ai

About the author

Skye is the Scientific Communications Manager at CiteAb, with a background in Biochemistry.

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