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Demo AI4Science Protein Modeling Engineering

How to Build a Flapping-Wing Aircraft from Scratch

A single post that exercises headings, prose, callouts, code blocks, tables, lists, math, and tags.

This article is a living style sample for the blog. It is meant to make the theme easy to inspect before real posts start accumulating.

The target feeling is simple: readable enough for long research notes, structured enough for engineering logs, and calm enough that the content gets the attention.

Section Heading

A good post often starts with a short framing paragraph. For example, a protein modeling note might explain the dataset, the model checkpoint, the evaluation metric, and the result that changed your mind.

Smaller Heading

Use smaller headings for local arguments, implementation notes, ablation results, or paper-reading observations.

Callout

Working note. Use callouts for assumptions, warnings, experiment settings, or small conclusions that should survive a quick skim.

Quote

Good research notes should preserve the path of thought, not only the polished conclusion.

Quotes are useful when reviewing papers, recording a claim, or separating an interpretation from the original source.

Lists

Unordered lists are useful for observations:

  • Tokenization can hide important biochemical structure.
  • Retrieval helps only when the retrieved evidence is specific enough.
  • A small evaluation set is better than no evaluation set, but it should be labeled honestly.

Ordered lists are useful for procedures:

  1. Define the question.
  2. Collect the smallest useful dataset.
  3. Run a baseline.
  4. Record the failure modes before tuning.

Code

Inline code like model.eval() should feel quiet inside a sentence. Larger blocks should be easy to scan.

from pathlib import Path

def load_sequences(path: str) -> list[str]:
    records = Path(path).read_text().splitlines()
    return [line.strip() for line in records if line and not line.startswith(">")]

sequences = load_sequences("examples.fasta")
print(f"Loaded {len(sequences)} sequences")

Table

Tables should stay compact and readable.

Experiment Input Metric Result
Baseline encoder sequence AUROC 0.781
Structure-aware model sequence + structure AUROC 0.824
Retrieval-augmented note sequence + motifs AUROC 0.836

Math

Inline math such as $p(y \mid x)$ should render naturally. Display math can be used for short derivations:

\[L = - \sum_i y_i \log p_i\]

Divider


The rest of this paragraph exists to check spacing after a divider. The page should still feel calm, with enough contrast for technical reading and enough whitespace to avoid becoming a wall of text.