Dataset Viewer: Search Results for "endoplasmic_reticulum_stress" - PathMap Studio

PathMap Literature Based Discovery Engine

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Guaranteed to find unpublished literature based discoveries.

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PathMap Artificial General Intelligence™ is a local-first research engine that implements Gating Semantic Drift™ technology.

The software procures veridical, source-aligned research literature audits with guaranteed 0% mis-stated quotes AND perfect APA citations.

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Experiment #00000089

Use of MBTPS1 inhibitors is a plausible strategy to prevent the terminal phase of nuclear death in specific cellular contexts.

Membrane-Bound Transcription Factor Peptidase, Site 1 _gates_from_membrane_bound_transcription_factor_peptidase__site_1 SREBP Activation _gates_to_srebp_activation _gates_from_srebp_activation Cellular Lipid Homeostasis _gates_to_cellular_lipid_homeostasis _gates_from_cellular_lipid_homeostasis Terminal Cell Death _gates_to_terminal_cell_death
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Experiment #00000088

Stabilizing the CREB3 tether via S1P/S2P protease inhibition represents a novel mechanism to prevent the terminal phase of neuronal death.

Endoplasmic Reticulum Stress _gates_from_endoplasmic_reticulum_stress Proteolysis _gates_to_proteolysis _gates_from_proteolysis Cyclic AMP-Response Element-Binding Protein _gates_to_cyclic_amp_response_element_binding_protein _gates_from_cyclic_amp_response_element_binding_protein Nuclear Envelope _gates_to_nuclear_envelope
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See the PathMap Research Engine in Action

PathMap in Action

Check out the PathMap official YouTube channel and view videos and streams of real builds I am making for the PathMap Global Gated Graphed Neural Network of Human Pathology.

View the PathMap portfolio on Zenodo

Beginning in June 2026, I will begin posting dataset results in the PathMap community page hosted at Zenodo, wherein I will generally publish the PathMap and logic gates and also utilize the Zenodo tagging system within the community to make discovery of related results more practical.

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1/5: 0% Mis-stated Quotes

PathMap fetches PubMed abstracts (your choice) and creates its grounding using quotes. If the AI mis-states even one character of any of the quotes, the response is failed with feedback and retried until the AI provides a fully grounded and veridical response.

2/5: Veridical Enforcement

When researching, PathMap audits the attempt after quote validation to ensure that the pending response does not have any illogical statements. I cannot guarantee the logical accuracy of the responses because AI can miscalculate. However, given perfect grounding and post-generation auditing before acceptance, the responses are consistenly scored as exceptionally accurate and up to date. The primary error the veridical enforcer seems to block is when a dataset has old data and newer data but the AI trusted/chose out of date data in a way that conflicts with newer data. PathMap prevents this from happening.

3/5: Literature-Based Discoveries in Moments

PathMap is able to quickly identify overlooked or new correlations from thousands abstracts using augmented generation (RAG) optimization. Whether running adversarial claims across thousands of PubMed abstracts or focusing on a single set of evidence and iteratively evaluating, PathMap maps Suggested Experiments, Studies And Opportunities, Swanson's Literature Based Discovery Candidates, Contradictions Between Evidences, and Repurposed Solutions.

4/5: 100% Privacy-First Deliverables

Your purchased research and hypotheses belong to you. I will only deliver your final data assets to the email that you use when you pay for your order with and never anywhere else. As noted above, each research purchase comes with a customized PathMap user HTML viewer that will allow you to easily see, understand, and expand your dataset with ease from day 1.

5/5: Manual review, but not peer reviewed

I review every result as a final veridical enforcement agent. If the AI failed, I throw out the whole response and run it again. I also make sure that the AI makes at least one unpublished / not-known-to-yet-be-published literature based discovery. See the Curation Policy

Frequently Asked Questions

1️⃣

Is it possible for me to order custom research?

No, but you can download the software and use it under the Apache License 2.0 as of August 28, 2026..

2️⃣

Is PathMap an autonomous AI system?

No, every query is typed in by the webmaster and PathMap evaluates the literature. Often, several queries and rewordings are needed before the AI returns a response that is helpful and veridical to the verbatim quotes.

4️⃣

What else can the PathMap HTML viewer do?

No viewer is included at this time beyond the reports and report generation within the app. I have decided to open source the code so you can easily build your own custom dataset viewers based on the trace files using just about any good coding AI.

5️⃣

Do you verify the clinical accuracy of the data?

NO. I AM NOT A MEDICAL PROFESSIONAL and it would be highly illegal for me to claim otherwise or imply such a thing.

The datasets that PathMap delivers are guaranteed to have no mis-stated quotes and proper APA citations. If there is an issue regarding veridical metrics, I will first determine what happened and fix the issue, and then rebuild. It is programatically impossible for a quote to be mis-stated within the PathMap code. Finally, I do review the datasets for quality and to ensure the AI made a legitimate discovery. During late 2026, a curation video library will be created showing the process of inquisition to ensure veridicality to the PubMed data provided in the results' sources.

View the Curation Policy

6️⃣

The license is complex. Can you summarize it?

It is not complex any more. It is now under the Apache License 2.0

The Developer & The Mission

The Mission of Artificial General Intelligence LLC™:
To build tools that are profoundly beneficial to humanity and productivity while fiercely protecting against human labor displacement. Academic, clinical, and independent research should be adoption barrier-free to the greatest extent that is reasonable when the PathMap™ Artificial General Intelligence™ technology is used toward the tangible betterment of patient outcomes and global humanitarian needs. All applications and outputs are freely available. Click here to view the Apache License 2.0.

Open-Source Notice: Core technologies including Gating Semantic Drift™, Veridical AI Enforcement™, and the Universal AI Workbench™ framework are proudly released as open-source software under the Apache License 2.0 to foster transparent collaboration and accelerate global research.

Hello, I am Joshua Dungan, the founder of Artificial General Intelligence LLC™ and the lead systems architect behind the PathMap™ cognitive engine.

As a full-time, independent caregiver, I built PathMap™ out of personal inspiration. After seeing Eric Dane's ALS interview in June 2025, I decided to apply advanced systems architecture to neurodegenerative research. I realized that critical, life-saving correlations exist right now—trapped in fragmented academic databases, just waiting for a verifiable, hallucination-free system to connect the dots and accelerate cures.

The core philosophy of Artificial General Intelligence LLC™ is to provide powerful, localized intelligence services that accelerate scientific breakthroughs while fiercely protecting human cognitive labor from displacement.