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
Image-Scaling Attacks and Defenses

Image-Scaling Attacks & Defenses This repository belongs to our publication: Erwin Quiring, David Klein, Daniel Arp, Martin Johns and Konrad Rieck. Ad

Erwin Quiring 163 Nov 21, 2022
Implementation of the paper "Shapley Explanation Networks"

Shapley Explanation Networks Implementation of the paper "Shapley Explanation Networks" at ICLR 2021. Note that this repo heavily uses the experimenta

68 Dec 27, 2022
Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions

Aquarius Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions NOTE: We are currently going through the open-source process requir

Zhiyuan YAO 0 Jun 02, 2022
Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers

Implementation of ICCV 2021 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers arxiv This repository is based on detr Recently, DETR

twang 113 Dec 27, 2022
A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

70 Jul 12, 2022
The official implementation of Variable-Length Piano Infilling (VLI).

Variable-Length-Piano-Infilling The official implementation of Variable-Length Piano Infilling (VLI). (paper: Variable-Length Music Score Infilling vi

29 Sep 01, 2022
Planner_backend - Academic planner application designed for students and counselors.

Planner (backend) Academic planner application designed for students and advisors.

2 Dec 31, 2021
Intel® Neural Compressor is an open-source Python library running on Intel CPUs and GPUs

Intel® Neural Compressor targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep l

Intel Corporation 846 Jan 04, 2023
Implementation of Basic Machine Learning Algorithms on small datasets using Scikit Learn.

Basic Machine Learning Algorithms All the basic Machine Learning Algorithms are implemented in Python using libraries Acknowledgements Machine Learnin

Piyal Banik 47 Oct 16, 2022
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

ORB-SLAM2 Authors: Raul Mur-Artal, Juan D. Tardos, J. M. M. Montiel and Dorian Galvez-Lopez (DBoW2) 13 Jan 2017: OpenCV 3 and Eigen 3.3 are now suppor

Raul Mur-Artal 7.8k Dec 30, 2022
《Geo Word Clouds》paper implementation

《Geo Word Clouds》paper implementation

Russellwzr 2 Jan 28, 2022
A mini-course offered to Undergrad chemistry students

The best way to use this material is by forking it by click the Fork button at the top, right corner. Then you will get your own copy to play with! Th

Raghu 19 Dec 19, 2022
Malware Bypass Research using Reinforcement Learning

Malware Bypass Research using Reinforcement Learning

Bobby Filar 76 Dec 26, 2022
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Enformer - Pytorch (wip) Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch. The original tensorflow

Phil Wang 235 Dec 27, 2022
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

Keras-ICNet [paper] Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images. Training in progress! Requisites Python 3.6.3 K

Aitor Ruano 87 Dec 16, 2022
A basic neural network for image segmentation.

Unet_erythema_detection A basic neural network for image segmentation. 前期准备 1.在logs文件夹中下载h5权重文件,百度网盘链接在logs文件夹中 2.将所有原图 放置在“/dataset_1/JPEGImages/”文件夹

1 Jan 16, 2022
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Swin Transformer for Object Detection This repo contains the supported code and configuration files to reproduce object detection results of Swin Tran

Swin Transformer 1.4k Dec 30, 2022
CVPR 2021 Challenge on Super-Resolution Space

Learning the Super-Resolution Space Challenge NTIRE 2021 at CVPR Learning the Super-Resolution Space challenge is held as a part of the 6th edition of

andreas 104 Oct 26, 2022
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

DiscoGAN Official PyTorch implementation of Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. Prerequisites Python 2.7

SK T-Brain 754 Dec 29, 2022
Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition

🎵 MuSiQue: Multi-hop Questions via Single-hop Question Composition This is the repository for our paper "MuSiQue: Multi-hop Questions via Single-hop

21 Jan 02, 2023