As a follow-up on yesterdays post.
This is the concept that was developed alongside that discussion paper. The software can be tested and evaluated and the source code is available upon contact with ResinTox.

By People – For People
As a follow-up on yesterdays post.
This is the concept that was developed alongside that discussion paper. The software can be tested and evaluated and the source code is available upon contact with ResinTox.

A Discussion on the Future of AI in Scientific Inquiry.
Recently posted some thoughts on AI and LLM’s in research and science context, which can be found here.
The Fallout Predictor is a pioneering web-based platform designed to model the dispersion of hazardous substances with unprecedented precision. Moving beyond the limitations of legacy software, this application utilises a sophisticated Gaussian-Lagrangian hybrid approach to simulate plumes interacting with complex geographic and urban landscapes. Large volume users are advised to become subscribers to the Open Meteo API-service, as the system will have limited amount of calls per month. With their api key, it is possible to make more predictions (or more playing). For every day usage or testing purposes however, the free tier is usually enough. Chemical data is fetched from PubChem REST API by default, but with your Google Gemini API-Key, it is possible to fetch data for chemicals, compounds and other substances too. Secure API-Key management is handled internally on the client side (Browser).
One of the most impressive features is the real-time integration of OpenStreetMap data, allowing for plume deflection and recursive branching when encountering architectural mass. This provides responders with a far more realistic visualisation than traditional linear projections. Furthermore, the platform is currently in a Limited Time Open Access Beta, offering an interactive Physics Sandbox for users to explore the underlying engine. Do not hesitate to provide feedback, so we can release a full feature application before the end of 2026.
The future looks even brighter with the upcoming implementation of Gemini 3.0 (With API-Key) logic. This AI enhancement will automate chemical property retrieval and provide rapid geospatial population estimates, significantly reducing critical decision-making time during emergencies. Whilst current standards like ALOHA offer basic insights, the Fallout Predictor v2.5.0 sets a new benchmark in emergency readiness and situational awareness. For organisations looking to bolster their safety protocols, this programme represents a vital leap forward in predictive technology.
At ResinTox, our mission is to empower the global toxicology community through cutting-edge software solutions, robust data, and rigorous evidence-based research. Guided by the principle of being ‘By People – For People’, we strive to bridge the gap between complex scientific data and the practical needs of healthcare providers, regulatory agencies, and corporations.
Our most significant breakthrough is the RAPID system (Rapid On-site Analyte-specific Peptide Intervention and Diversion), designed to revolutionise snakebite envenomation management. Traditionally, snakebite treatment has been hindered by diagnostic uncertainty and cold-chain logistics. Our four-pillar approach—combining on-site portable diagnostics, cloud-based AI analysis, and on-demand peptide synthesis—aims to provide personalised, life-saving care even in the most remote locations.
Beyond snakebite management, we are making strides in in-silico toxicology. The development of the ResinTox Toxicology Toolkit provides an all-in-one platform for symptom prediction and de novo molecule development. Whether we are conducting meta-analyses on the health effects of nicotine or investigating venom variability in Vipera berus, our commitment remains the same: ensuring that the highest standard of scientific evidence drives global decisions on chemical safety and public health.
The journey toward a safer, more informed world is well underway.
There is a new Preprint available that is now undergoing peer review. You can read the draft and manuscript here: https://doi.org/10.5281/zenodo.17514183
Abstract
Across Eurasia, envenomation by the common European adder, Vipera berus, presents a significant medical challenge, primarily driven by phospholipase A₂ (PLA₂) enzymes. Traditional antivenom therapies are hampered by specificity, immunogenicity, and logistical limitations. This article, structured into distinct chapters, first establishes the biochemical challenge posed by Vipera berus venom and the central role of PLA₂. It then outlines a focused, structure-based strategy for designing synthetic peptide inhibitors that specifically target the primary toxic PLA₂ isoform in V. berus venom (UniProt: P31854). Drawing from successful precedents in inhibiting homologous viper and elapid PLA₂s, we propose a design blueprint for short peptides (5-7 amino acids) that function as high-affinity active site blockers. The proposed mechanism involves a hydrophobic peptide scaffold that anchors the inhibitor within the enzyme’s substrate-binding channel, combined with a strategically placed “warhead” residue (e.g., Tyrosine or Arginine) designed to form high-energy hydrogen bonds or salt bridges with the catalytic dyad (His48/Asp49). This approach effectively neutralises the enzyme’s toxic activity. The clinical translation of such designer peptides is made feasible by emerging on-demand manufacturing platforms, such as the RAPID system, which utilise rapid synthesis technologies to produce patient-specific therapeutics. This peptide-centric framework offers a pathway toward a new generation of precise, safe, and logistically robust antivenoms.
New article on how to tackle the antivenom shortage in the world is available to read in the journal Public Health and Toxicology.
In the references there are direct links to the working paper, proposal and prior art-statement
We have decided to share some material on a software project that is under development, which can be found here.
It is an All-in-One toolkit for in-silico lab-work in toxicology, covering symptom prediction to De Novo-molecule development.
RAPID Conceptual Proposal by Jan-Peter Nilsson (ResinTox)
Public Disclosure: 9 August 2025
Hello everyone,
It’s been a little quiet around here lately, and we wanted to break the silence. Thank you for your patience! For the past few months, we’ve been deep in project mode, pouring our energy into some exciting new ventures. It was an intense, challenging, and incredibly rewarding period that required our full attention. While we had to press pause on creating new content for the site, the work behind the scenes has been anything but stagnant. We’ve been experimenting, learning, and pushing our boundaries. These projects have given us fresh perspectives and a wealth of new knowledge that we are incredibly excited to share with you. We’re thrilled to announce that we’ve just published a batch of brand-new material, directly inspired by the lessons learned and techniques honed during our recent work.
What’s New?
We invite you to dive in and explore the latest additions:
This is just the beginning. The experiences from our recent projects have filled our notebooks with ideas, and we can’t wait to turn them into more articles, guides, and resources for you.
Thanks for sticking with us. It’s good to be back!
All the best,
The ResinTox Team
… to make some tools available for limited use, during trial out. Terms and conditions will apply, and some tools are free and open to the public, other will require a registration with ResinTox, due to their Dual-Use nature. In some instances credentials from governmental or academic institutions are required to register for access to certain softwares and functions.