# workflowinformatics.com > AI-optimized mirror of workflowinformatics.com containing 25 pages totalling 4,007 words of clean markdown content, structured data, and semantic HTML. Original source: https://workflowinformatics.com/. Last updated: 2026-06-15T23:29:35.936Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [Architecting and automating research informatics workflows](/content/site-root.html): We automate research informatics workflows—cheminformatics, lab informatics, ML, and AI—with software, integration, and data solutions for faster drug discovery (423 words) ## Articles & Blog Posts - [Events](/content/events-2/index.html): Find upcoming events where Workflow Informatics is presenting—conferences, workshops, and industry gatherings worldwide. (90 words) - [Publications](/content/publications/index.html): Browse publications, white papers, and case studies showcasing Workflow Informatics’ solutions in scientific informatics. (100 words) - [Pipeline Pilot and KNIME Services](/content/pipeline-pilot-and-knime-services/index.html): Optimize your workflows with expert support for Pipeline Pilot and KNIME. Integration, customization, and training for drug discovery teams. (161 words) - [HTSC](/content/htsc/index.html): Automate HS code classification with HTSC from Workflow Informatics—accurate, compliant, and faster than manual processes. (145 words) - [MLSK](/content/ml-starter-kit/index.html): Kickstart machine learning in your lab with the Workflow Informatics Starter Kit—fast setup, seamless integrations, and expert support. (274 words) - [Workflow Request and Tracking™](/content/wrt/index.html): Manage requests, samples, and research workflows with WRT. A lightweight LIMS alternative built to reduce errors and improve efficiency. (332 words) - [SCP Workbench](/content/scp-workbench/index.html): Deploy scalable machine learning pipelines with SCP Workbench on AWS. Workflow Informatics helps accelerate chemical and biological data analysis. (137 words) - [Publication](/content/category/publication/index.html) (219 words) - [Workflow Informatics Blog](/content/blog/index.html): Explore articles on scientific workflows, data integration, AI, and informatics trends from the experts at Workflow Informatics. (219 words) - [PARP1: Structural insights and pharmacological targets for inhibition](/content/parp1-structural-insights-and-pharmacological-targets-for-inhibition.html): PARP1: Structural insights and pharmacological targets for inhibition Poly(ADP-ribose) polymerase 1 (PARP1, also known as ADPRT1) is a multifunctional human ADP-ribosyltransferase. It plays a role in multiple DNA repair pathways, including the base excision repair (BER), non-homologous end joining (NHEJ), homologous recombination (HR), and Okazaki-fragment processing pathways. In response to DNA strand breaks, PARP1 covalently (230 words) - [Heterocyclic Regioisomer Enumeration (HREMS): A Cheminformatics Design Tool](/content/heterocyclic-regioisomer-enumeration-hrems-a-cheminformatics-design-tool.html): Heterocyclic Regioisomer Enumeration (HREMS): A Cheminformatics Design Tool We report the development and implementation of a cheminformatics tool which aids in the design of compounds during exploratory chemistry and lead optimization. The Heterocyclic Regioisomer Enumeration and MDDR Search (HREMS) tool allows medicinal chemists to build greater structural diversity into their synthetic planning by enabling a (168 words) - [BioChemUDM: a unified data model for compounds and assays](/content/biochemudm-a-unified-data-model-for-compounds-and-assays.html): BioChemUDM: a unified data model for compounds and assays We present a simple, biochemistry data model (BioChemUDM) to represent compounds and assays for the purpose of capturing, reporting, and sharing data, both biological and chemical. We describe an approach to register a compound based solely on a stereo-enhanced sketch, thereby replacing the need for additional (116 words) - [MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction](/content/megasyn-integrating-generative-molecular-design-automated-analog-designer-and-synthetic-viability-prediction.html): MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction Generative machine learning models have become widely adopted in drug discovery and other fields to produce new molecules and explore molecular space, with the goal of discovering novel compounds with optimized properties. These generative models are frequently combined with transfer learning or scoring (181 words) - [Workflow Informatics becomes an official service partner for Collaborative Drug Discovery](/content/oct-11-2019-workflow-informatics-becomes-an-official-service-partner-for-collaborative-drug-discovery.html) (15 words) - [White Paper – From Data to Drug Discovery](/content/an-optimized-approach-to-research-informatics-unlocking-the-power-of-machine-learning-and-generative-ai-in-drug-discovery-applications.html): From Data to Drug Discovery Machine learning (ML) has become a cornerstone of the drug discovery process, offering new tools that enhance the effectiveness of pharmaceutical research. Today, many companies are taking these developments a step further using the transformative power of generative AI (Gen AI) to search for molecules under specific constraints, such as (189 words) - [Workflow Informatics](/content/category/workflow-informatics/index.html) (124 words) - [Machine Learning in Neuroplasticity](/content/machine-learning-in-neuroplasticity/index.html): Accelerating Neuropsychiatric Drug Discovery with ML Machine learning is unlocking new frontiers in neuropsychiatric research. In collaboration with Delix Therapeutics, Workflow Informatics applied machine learning to model neuroplasticity—predicting how small molecules influence neurite growth, a hallmark of compounds with antidepressant potential. By integrating curated chemical libraries, phenotypic screening, and XGBoost models trained on high-content image (112 words) - [News Post](/content/category/news-post/index.html) (70 words) - [WFI Newsletter – February 2026](/content/wfi-newsletter-february-2026/index.html): Workflow Informatics Newsletter - February 2026 Newsletter February 2026 Your 'Best of Breed' Strategy Is Strangling Your Research Workflow You didn't accumulate eight different research informatics platforms because of bad planning. You did it because no single platform does everything well. Your choices made perfect tactical sense: Platform 1 handles compound registration brilliantly, but its A Different Approach: Integration Over Replacement Here's what we don't do: try to sell you another platform that promises to "do everything." (667 words) - [Uncategorized](/content/category/uncategorized/index.html) (31 words) - [sitemap-xml.html](/content/sitemap-xml.html) (1 words) - [category-sitemap-xml.html](/content/category-sitemap-xml.html) (1 words) - [post-sitemap-xml.html](/content/post-sitemap-xml.html) (1 words) - [page-sitemap-xml.html](/content/page-sitemap-xml.html) (1 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/robots.txt): Crawler directives