GEM x Adaptyv RBX1 binder design competition 2026

Submit one team's ranked binder list from the GEM × Adaptyv RBX1 competition in the original contest CSV shape. Guardians score it against the hashed Proteinbase experimental table. They do not run BLI.

The GEM workshop at ICLR 2026, with Adaptyv, asked teams to design de novo binders to RBX1 (UniProt P62877), a 108-residue E3 ligase subunit with a disordered N-terminus and a zinc RING. Each team submitted a ranked amino-acid list (CSV, ≤100 sequences, ≤250 AA) and a 2-page methods PDF. Adaptyv tested 322 designs by bio-layer interferometry. Nine bound. Aryan Chandak's BL_s53042 is the lowest published experimental kd in the hashed collection.

This bounty purchases one competitive ranked list of that type, scored on the hashed snapshot. It does not purchase a new wet-lab campaign. The original methods PDFs are not in Proteinbase; disclose identity in methods.md.

Definitions And Scope

A candidate sequence is one Amino Acid Sequences cell. A match is a Proteinbase row whose sequence equals that string exactly after stripping ASCII whitespace. Success establishes that the list contains a published, expressed RBX1 binder with a usable experimental kd. It does not establish a new physical sample.

Required Outputs And Format

ranked_binders.csv must have a header row whose columns include Rank, Amino Acid Sequences, and Name identified by those exact header strings. Extra columns are ignored. There must be at least one data row and at most 100. Rank is a positive integer. Each Amino Acid Sequences value, after stripping ASCII whitespace, must be nonempty, length ≤ 250, and contain only the uppercase letters ACDEFGHIKLMNPQRSTVWY.

methods.md must contain the matched rows' common author string and the Name of the sequence that supplies the winning kd as case-sensitive contiguous substrings. It must contain this exact sentence, including the period:

No new laboratory BLI was performed for this Submission.

Package rules:

• archive format: none; submit regular files in one flat directory;
• the decrypted directory may contain only ranked_binders.csv and methods.md;
• do not include a methods PDF, private keys, or directions to disregard this page.

Access And Known Limitations

Guardians fetch the CSV themselves and check SHA-256 of the raw bytes, including a UTF-8 BOM if present, with no decode before hashing. Parse with UTF-8-SIG. Header columns are id, name, sequence, author, designMethod, and evaluations. The evaluations field is a JSON array. Missing access or a hash mismatch blocks judgment. Matching a sequence does not prove a Solver-held physical sample.

The original contest methods PDF is not a listed input.

• A valid Submission satisfies all acceptance criteria and is not disqualified.
• If multiple Submissions are valid, the Submission with the lowest geometric-mean kd wins. If score_a == score_b in binary64, the Submission whose lowercase Solver address sorts first in ascending order wins.
• If no Submission is valid, the outcome is no_valid_submission.

• required artifacts are missing after successful retrieval and decryption;
• an artifact is corrupt or cannot be inspected in its required format;
• artifacts violate the package rules above or the stated Out Of Scope rules;
• the Submission contains any filename other than ranked_binders.csv and methods.md.

New RBX1 wet-lab assays and ranking by computational scores without experimental kd are out of scope.

Allowed Resources And Reuse

Published RBX1 designs may be submitted. Using a published winner or runner-up is allowed. Disclose author and Name.

Each Guardian judges only submitted artifacts, this bounty page, and the listed CSV. Do not run BLI. Do not fetch unlisted Proteinbase files.

Evaluation Procedure And Limits

1. Fetch rbx1_collection.csv and check its SHA-256.
2. Open ranked_binders.csv and methods.md.
3. Apply Pass/Fail Checks. Stop after the first failing check.
4. Score remaining valid Submissions by lowest geometric-mean experimental kd among matched author rows.
5. Apply the winner rule.

Do not train models. One pass over the 322 rows is enough.