Addition of pseudotorsion caclulation eta, theta, eta', and theta' to barnaba package

Overview

Addition to Original Barnaba Code:

This is modified version of Barnaba package to calculate RNA pseudotorsion angles eta, theta, eta', and theta'.

Please refer original github here: https://github.com/srnas/barnaba

Following files are modified to include calculation of RNA pseudotorsion angles:

nucleic.py, functions.py, definitions.py, and commandline.py

Definitions of RNA pseudotorsion angles:

Please refer to this nice blog by Dr. Xiang-Jun Lu (x3DNA-DSSR software page) for definitions of pseudotorsions:

https://x3dna.org/highlights/pseudo-torsions-to-simplify-the-representation-of-dna-rna-backbone-conformation

Requirements

Barnaba requires:

  • Python 2.7.x or > 3.3
  • Numpy
  • Scipy
  • Mdtraj 1.9
  • future

Barnaba requires mdtraj (http://mdtraj.org/) for manipulating structures and trajectories. To perform cluster analysis, scikit-learn is required too.

Required packages can be installed using pip, e.g.:

pip install mdtraj

Installation (if you want RNA pseudotorsions !!!)

git clone https://github.com/mandar5335/barnaba_pseudotor

then move to the barnaba directory and run the command

pip install -e .

Usage:

RNA pseudotorsions can be calculated using the command line or in jupyter-notebook.

command line:

barnaba TORSION --pseudo --pdb foo.pdb

Jupyter Notebook:

import barnaba as bb
from barnaba import definitions
angle, res =  bb.eta_theta_angles("foo.pdb")
definitions.pseudo_angles

This will calculate four pseudotorsions: ['eta', 'theta', 'eta_prime', 'theta_prime']

References

[1] Bottaro, Sandro, Francesco Di Palma, and Giovanni Bussi.
"The role of nucleobase interactions in RNA structure and dynamics."
Nucleic acids research 42.21 (2014): 13306-13314.

[2] Pinamonti, Giovanni, et al.
"Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments."
Nucleic acids research 43.15 (2015): 7260-7269.

If you use Barnaba in your work, please cite the following paper::

@article{bottaro2019barnaba,
	title={Barnaba: software for analysis of nucleic acid structures and trajectories},
	author={Bottaro, Sandro and Bussi, Giovanni and Pinamonti, Giovanni and Rei{\ss}er, Sabine and Boomsma, Wouter and Lindorff-Larsen, Kresten},
	journal={RNA},
	volume={25},
	number={2},
	pages={219--231},
	year={2019},
	publisher={Cold Spring Harbor Lab}
}
Owner
Mandar Kulkarni
Mandar Kulkarni
An image classification app boilerplate to serve your deep learning models asap!

Image 🖼 Classification App Boilerplate Have you been puzzled by tons of videos, blogs and other resources on the internet and don't know where and ho

Smaranjit Ghose 27 Oct 06, 2022
Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

Prompt-Tuning Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" Currently, we support the following huggigface models: Bart

Andrew Zeng 36 Dec 19, 2022
The final project of "Applying AI to 2D Medical Imaging Data" of "AI for Healthcare" nanodegree - Udacity.

Pneumonia Detection from X-Rays Project Overview In this project, you will apply the skills that you have acquired in this 2D medical imaging course t

Omar Laham 1 Jan 14, 2022
An Ensemble of CNN (Python 3.5.1 Tensorflow 1.3 numpy 1.13)

An Ensemble of CNN (Python 3.5.1 Tensorflow 1.3 numpy 1.13)

0 May 06, 2022
A trusty face recognition research platform developed by Tencent Youtu Lab

Introduction TFace: A trusty face recognition research platform developed by Tencent Youtu Lab. It provides a high-performance distributed training fr

Tencent 956 Jan 01, 2023
Pcos-prediction - Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms

PCOS Prediction 🥼 Predicts the likelihood of Polycystic Ovary Syndrome based on

Samantha Van Seters 1 Jan 10, 2022
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.

META-RS This is the companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsu

Bosch Research 7 Dec 09, 2022
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems This is our experimental code for RecSys 2021 paper "Learning

11 Jul 28, 2022
FeTaQA: Free-form Table Question Answering

FeTaQA: Free-form Table Question Answering FeTaQA is a Free-form Table Question Answering dataset with 10K Wikipedia-based {table, question, free-form

Language, Information, and Learning at Yale 40 Dec 13, 2022
This repository contains the source code of our work on designing efficient CNNs for computer vision

Efficient networks for Computer Vision This repo contains source code of our work on designing efficient networks for different computer vision tasks:

Sachin Mehta 386 Nov 26, 2022
Method for facial emotion recognition compitition of Xunfei and Datawhale .

人脸情绪识别挑战赛-第3名-W03KFgNOc-源代码、模型以及说明文档 队名:W03KFgNOc 排名:3 正确率: 0.75564 队员:yyMoming,xkwang,RichardoMu。 比赛链接:人脸情绪识别挑战赛 文章地址:link emotion 该项目分别训练八个模型并生成csv文

6 Oct 17, 2022
A generator of point clouds dataset for PyPipes.

CloudPipesGenerator Documentation | Colab Notebooks | Video Tutorials | Master Degree website A generator of point clouds dataset for PyPipes. TODO Us

1 Jan 13, 2022
POT : Python Optimal Transport

POT: Python Optimal Transport This open source Python library provide several solvers for optimization problems related to Optimal Transport for signa

Python Optimal Transport 1.7k Dec 31, 2022
Pytorch re-implementation of Paper: SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition (CVPR 2022)

SwinTextSpotter This is the pytorch implementation of Paper: SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text R

mxin262 183 Jan 03, 2023
Tools for the Cleveland State Human Motion and Control Lab

Introduction This is a collection of tools that are helpful for gait analysis. Some are specific to the needs of the Human Motion and Control Lab at C

CSU Human Motion and Control Lab 88 Dec 16, 2022
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions

gtfs2vec This is a companion repository for a gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions publication. Vis

Politechnika Wrocławska - repozytorium dla informatyków 5 Oct 10, 2022
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Rethinking the Value of Labels for Improving Class-Imbalanced Learning This repository contains the implementation code for paper: Rethinking the Valu

Yuzhe Yang 656 Dec 28, 2022
Bayesian Neural Networks in PyTorch

We present the new scheme to compute Monte Carlo estimator in Bayesian VI settings with almost no memory cost in GPU, regardles of the number of sampl

Jurijs Nazarovs 7 May 03, 2022
A Data Annotation Tool for Semantic Segmentation, Object Detection and Lane Line Detection.(In Development Stage)

Data-Annotation-Tool How to Run this Tool? To run this software, follow the steps: git clone https://github.com/Autonomous-Car-Project/Data-Annotation

TiVRA AI 13 Aug 18, 2022
CenterPoint 3D Object Detection and Tracking using center points in the bird-eye view.

CenterPoint 3D Object Detection and Tracking using center points in the bird-eye view. Center-based 3D Object Detection and Tracking, Tianwei Yin, Xin

Tianwei Yin 134 Dec 23, 2022