# π Enhanced Search Strategies for NCBI MCP Server
Based on real-world testing, here are optimized search strategies for better literature discovery.
## π― The "Distribution of Fitness Effects" Case Study
**Target Paper**: "Isolating selective from non-selective forces using site frequency ratios" (PMID: 40258089)
**URL**: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1011427
### What Worked vs. What Didn't
β **Failed Searches**:
- "fitness effects distribution population genomics"
- "distribution of fitness effects population genomics"
- "fitness effects inference genomics"
β
**Successful Searches**:
- **"selective forces site frequency"** (position 2-3)
- **"mutation fitness effects site frequency"** (position 4)
- **"distribution mutation fitness effects"** (position 10)
## π§ **Key Insights**
1. **Use Method-Specific Terms**: Include specific methodological terms like "site frequency", "SFS", "allele frequency"
2. **Try Alternative Phrases**: "selective forces" vs "fitness effects"
3. **Sort by Date for "Latest"**: When looking for recent papers, use `sort="pub_date"`
4. **Expand Search Scope**: Increase `max_results` to 20-50 for comprehensive searches
## π **Improved Search Strategies**
### For Distribution of Fitness Effects Research:
#### Strategy 1: Multi-term approach
```python
queries = [
"distribution fitness effects",
"selective forces site frequency",
"mutation fitness effects SFS",
"allele frequency spectrum fitness",
"DFE inference population genetics"
]
```
#### Strategy 2: Method-focused
```python
queries = [
"site frequency spectrum method",
"SFS population genetics inference",
"allele frequency fitness estimation",
"polymorphism fitness effects"
]
```
#### Strategy 3: Recent literature (sorted by date)
```python
# Use date sorting for "latest" requests
search_params = {
"sort": "pub_date",
"max_results": 20,
"date_range": "365" # Last year
}
```
## π **Recommended Claude Prompts**
### Better Prompts for Finding Latest Papers:
Instead of:
> "Find the latest paper on the inference of the distribution of fitness effect using population genomics data"
Use:
> "Search for recent papers on fitness effects inference using these approaches:
> 1. Site frequency spectrum methods
> 2. Selective forces estimation
> 3. Allele frequency-based inference
> Sort by publication date and get the top 20 results from the last 2 years"
### For Comprehensive Literature Reviews:
> "Perform a multi-strategy search for distribution of fitness effects research:
> - Search 'selective forces site frequency spectrum'
> - Search 'mutation fitness effects inference'
> - Search 'DFE population genomics methods'
> - Get abstracts for the top 10 from each search, sorted by date"
## π **Advanced Search Techniques**
### 1. Use Field Tags
```
"site frequency spectrum"[ti] AND fitness[ti]
"selective forces"[tiab] AND genomics[mh]
```
### 2. Boolean Combinations
```
(DFE OR "fitness effects") AND ("site frequency" OR SFS)
```
### 3. Author and Journal Targeting
```python
# If you know key researchers
advanced_search(
terms=["fitness effects", "population genetics"],
authors=["Eyre-Walker", "Keightley"],
journals=["PLoS Genetics", "Genetics", "Molecular Biology and Evolution"]
)
```
## π‘ **Pro Tips for Claude Users**
1. **Be Specific About Methods**: Mention specific analytical approaches
2. **Request Multiple Search Strategies**: Ask Claude to try different term combinations
3. **Always Check Recent Papers**: Explicitly request date-sorted results
4. **Use Batch Searches**: Have Claude run multiple searches simultaneously
5. **Cross-Reference Results**: Look for papers appearing in multiple searches
## π― **Example Enhanced Prompt**
```
I'm looking for the most recent advances in inferring the distribution of fitness effects from population genomics data. Please:
1. Search these terms sorted by publication date:
- "selective forces site frequency spectrum"
- "mutation fitness effects inference"
- "DFE population genetics"
- "site frequency ratio fitness"
2. Get abstracts for the top 5 papers from each search
3. Focus on papers from 2023-2025
4. Look for methodological advances and new software tools
This should help capture papers using different terminology and approaches.
```
This strategy would have found the PLOS Genetics paper you mentioned!