Skip to main content

Add your description here

Project description

MLM25: MaveDB Amino Acid Substitution Prediction

Summary

Understanding the functional consequences of genetic variants is a cornerstone of modern genomics. Multiplexed Assays of Variant Effect (MAVEs) provide high-throughput measurements of how thousands of variants impact gene function, and MaveDB is a growing repository of these datasets, but it is still expensive and time-consuming to experimentally test every variant. In this challenge, your task is to develop a machine learning model that can predict the functional outcomes of amino acid substitutions.

Sources/Citations

MaveDB

Rubin, A.F., Stone, J., Bianchi, A.H. et al. MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays. Genome Biol 26, 13 (2025). https://doi.org/10.1186/s13059-025-03476-y

ESM C

ESM Team. "ESM Cambrian: Revealing the mysteries of proteins with unsupervised learning." EvolutionaryScale, 2024, https://evolutionaryscale.ai/blog/esm-cambrian.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aasp-0.1.1a1.tar.gz (2.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aasp-0.1.1a1-py3-none-any.whl (2.7 kB view details)

Uploaded Python 3

File details

Details for the file aasp-0.1.1a1.tar.gz.

File metadata

  • Download URL: aasp-0.1.1a1.tar.gz
  • Upload date:
  • Size: 2.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aasp-0.1.1a1.tar.gz
Algorithm Hash digest
SHA256 5cbe0cc220c4e39523f0b281b98679061e54e24193957c4e36fcadaffb10c63e
MD5 25457ff582079b577ea09d60fc2729d5
BLAKE2b-256 cd8c70eec0cb2d75d6fda2382d8a2d8cf0552c32a5488cb1620196bd2ee3842c

See more details on using hashes here.

Provenance

The following attestation bundles were made for aasp-0.1.1a1.tar.gz:

Publisher: python-publish.yml on isaacdchu/mlm25_mavedb

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file aasp-0.1.1a1-py3-none-any.whl.

File metadata

  • Download URL: aasp-0.1.1a1-py3-none-any.whl
  • Upload date:
  • Size: 2.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for aasp-0.1.1a1-py3-none-any.whl
Algorithm Hash digest
SHA256 c8153fb44cd91171e8ec169545c35744570410561a334ab4693b3cfb70b2a44a
MD5 8e507a4b3b822397788a91eefbe1866a
BLAKE2b-256 453d354e09342bfc895ad86244a3feb7a305ddcdefd8d2faa8d72494d1d4b743

See more details on using hashes here.

Provenance

The following attestation bundles were made for aasp-0.1.1a1-py3-none-any.whl:

Publisher: python-publish.yml on isaacdchu/mlm25_mavedb

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page