Skip to main content

A comprehensive tool for molecular and enzyme calculations

Project description

MTCLabPy

A comprehensive Python package for molecular biology and enzyme calculations.

Features

  • Solubility Analysis
  • Molecular Pockets Analysis
  • Mutations Analysis
  • Affinity Calculations
  • Kcat Prediction
  • Enzyme Self Calculation
  • Molecular Docking
  • Developmental Tree Analysis

Installation

pip install mtclabpy

Usage

# Example for kcat prediction
from mtclabpy.kcat_prediction import dlkat

# Example for solubility prediction
from mtclabpy.solubility import nessolp

# Predict solubility
result_url = nessolp(
    fasta_file_path="sequence.fasta",
    email="your_email@example.com",
    username="your_username",
    password="your_password"
)

# More examples in documentation

Requirements

  • Python >= 3.6
  • NumPy
  • Pandas
  • SciPy
  • BioPython
  • Requests

License

MIT License

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

mtclabpy-0.6.5.tar.gz (22.5 kB view details)

Uploaded Source

Built Distribution

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

mtclabpy-0.6.5-py3-none-any.whl (53.6 kB view details)

Uploaded Python 3

File details

Details for the file mtclabpy-0.6.5.tar.gz.

File metadata

  • Download URL: mtclabpy-0.6.5.tar.gz
  • Upload date:
  • Size: 22.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for mtclabpy-0.6.5.tar.gz
Algorithm Hash digest
SHA256 f72332803b9c9323c8f2b0900b2325f54554a45e9a9f93cc5ebd68b7955937f5
MD5 6a71d71f5757d4785b75086a4f7ac3bc
BLAKE2b-256 e02fc2f858a0799be367446cccb3b0db1f0a9f892cf58c9541e5d6916e0bc3ec

See more details on using hashes here.

File details

Details for the file mtclabpy-0.6.5-py3-none-any.whl.

File metadata

  • Download URL: mtclabpy-0.6.5-py3-none-any.whl
  • Upload date:
  • Size: 53.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for mtclabpy-0.6.5-py3-none-any.whl
Algorithm Hash digest
SHA256 57e2ffbbb1fa073fa051f853c777f8d71b0798c7072f2844c869a53feffa266a
MD5 d304633723d781324a75924599a04184
BLAKE2b-256 dbe2404ea2f183b36bcc9c21ad6701d5d8bde7b5c51831235c19e4672bb9e2e8

See more details on using hashes here.

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