PACR

Discover · AI Research Assistant

Ask a research question. Read the evidence behind the answer.

The PACR research assistant searches the literature and answers in plain language — with every statement linked to the study it came from, and the full source list beside it.

Includes 10 AI research credits per week on the free plan. Classic Search is unlimited.

Pacr + RN
Q2/2 create me a table of the findings Deep Jul 23, 2026 · 10:08 PM

1. CRISPR Gene Therapy Overview

CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) and its associated Cas9 nuclease constitute a genome-editing platform derived from the prokaryotic adaptive immune system (Zhang, 2020; Aziz-Andersen, 2021; Kotagama et al., 2019). The fundamental mechanism involves a synthetic guide RNA (gRNA) that directs the Cas9 nuclease to a specific, complementary DNA sequence in the genome (Aziz-Andersen, 2021; Mengstie & Wondimu, 2021). Upon recognition, Cas9 induces a double-stranded break (DSB) at the target site (Crudele & Chamberlain, 2018; Zhou & Yao, 2023). This break is subsequently repaired by the cell’s endogenous machinery via two primary pathways: non-homologous end joining (NHEJ), which is error-prone and often used to disrupt or "knock out" genes, or homology-directed repair (HDR), which can be used to insert or correct genetic sequences when a donor template is provided (Salsman & Dellaire, 2016; Zhou & Yao, 2023; Barrangou & May, 2014). This system is widely utilized to correct pathogenic mutations, disrupt disease-causing genes, or modulate gene expression for therapeutic outcomes (Zhang et al., 2024; Khoshandam et al., 2023; Xiong et al., 2016).

2. Advantages of CRISPR Gene Therapy

CRISPR/Cas9 offers significant improvements over conventional gene-editing tools, such as zinc finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs), in programmability, efficiency and cost (Khoshandam et al., 2023; Li et al., 2020).

AI Search Ask a research question and get answers from published papers…
Quick Deep Gaps

The screen above is a coded, static replica of the PACR research workspace. The interface is not interactive here.

Four modes

One assistant, four ways to search.

The mode decides how much literature PACR works through and what it returns. The sources, the citations and the library stay the same — so you can move between modes on the same question.

Quick Research

01

Fast, focused answers

For a focused question where you want a fast, evidence-backed overview and the sources behind it. Quick Research reads a manageable set of studies and returns a summary you can check.

  • A citation-backed answer in one pass
  • Best for a specific, well-formed question
  • Sources listed alongside the summary

Deep Research

02

Analysis across more literature

For broader or contested questions that need analysis across a much larger body of literature. Deep Research works through more studies before it answers, and reports where they agree and disagree.

  • Reads a wider set of studies
  • Surfaces agreement and contradiction
  • Best for a question with no settled answer

Research Gaps

03

What has not been answered

Instead of answering the question, Research Gaps maps what the literature has not resolved: unanswered questions, conflicting findings, methodological limitations and openings for future work.

  • Highlights conflicting evidence
  • Flags methodological limitations
  • Points to openings for new research

Classic Search

04

Direct keyword control

Traditional keyword search across the same scholarly records, for researchers who want to drive the query themselves. No credits, unlimited on every plan.

  • Keyword search you control
  • Same records as the AI modes
  • Unlimited on every plan, including free

How an answer is built

A structured answer, with the references beside it.

The assistant returns a structured write-up with author–year citations inline, and a references panel alongside it — each reference showing the author, year, journal, citation count, formatted citation and abstract, in the citation style you choose.

01

The question

A research question in plain language — no operators required.

How does time-restricted eating affect glycemic control in adults with type 2 diabetes?

02

The mode

Choose how much literature PACR works through before it answers.

03

The evidence summary

Every statement carries the source it came from, inline.

Across the retrieved trials, restricting the daily eating window is most often reported alongside modest reductions in HbA1c, with effect sizes that differ by window length and by how adherence was measured12. A meta-analysis of 18 controlled trials reports a pooled change smaller than the difference typically achieved by first-line pharmacotherapy, and describes substantial heterogeneity between studies2.

Continuous glucose monitoring studies describe lower postprandial excursions during shorter windows, though the available samples are small and mostly short in duration3. Reviews of adherence report that dropout rises as the eating window narrows, which limits what can be concluded about long-term glycemic effects4.

04

The citation card

Open any citation to see the study behind the claim.

2CitationCrossref

Eating window duration and HbA1c change: a meta-analysis of controlled trials

Authors
Lindqvist et al.
Year
2024
Design
Systematic review and meta-analysis
Sample
18 trials
05

The sources

The full list PACR drew from, with design and sample visible.

  • 1

    Early time-restricted eating and 24-hour glucose profiles in adults with type 2 diabetes

    Okafor et al.·2023·Randomized crossover trialPubMed

  • 2

    Eating window duration and HbA1c change: a meta-analysis of controlled trials

    Lindqvist et al.·2024·Systematic review and meta-analysisCrossref

  • 3

    Continuous glucose monitoring during a 10-hour eating window in insulin-treated adults

    Bianchi et al.·2022·Single-arm pilot studyPubMed

  • 4

    Adherence and dropout in time-restricted eating interventions: a scoping review

    Haddad et al.·2024·Scoping reviewDOAJ

Coverage

Searched across the scholarly record.

The assistant draws on a large collection of scholarly records rather than the open web, so the studies behind an answer are ones you can cite.

500M+

research records searched, drawn from sources including PubMed, Crossref, DOAJ, arXiv and bioRxiv.

PubMedCrossrefDOAJ arXivbioRxiv

Coverage varies by field and by what each source makes openly available. PACR does not claim every academic paper ever published.

What to expect

Honest about what the assistant does.

The assistant speeds up how you read the literature. It does not replace your judgement about what the literature means.

It reports, it does not conclude

The assistant summarises what the retrieved studies state and links each statement to its source. It does not issue clinical guidance or present a definitive answer where the literature has none.

You can check every claim

Each statement carries a citation, and each citation opens the study behind it — its design, sample and year — so you decide whether to rely on it.

Coverage is broad, not total

PACR searches a large collection of scholarly records, but coverage varies by field and by what each source makes openly available. It does not claim every paper ever published.

In the workflow

The answer is a starting point, not the end.

Because the assistant lives inside PACR, a useful source does not get lost. Save it, organize it, and write with it later — without leaving the workspace.

  1. 01

    Ask

    Put a question to the assistant and read the cited answer.

  2. 02

    Save

    Keep the sources that matter straight into a research library.

  3. 03

    Write

    Draft later with those same sources and citations connected.

Put a question to the literature.

Start with the free plan and run your first cited research today. Classic Search is unlimited, and AI research credits reset each week.