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
PyTorch implementation for paper "Full-Body Visual Self-Modeling of Robot Morphologies".

Full-Body Visual Self-Modeling of Robot Morphologies Boyuan Chen, Robert Kwiatkowskig, Carl Vondrick, Hod Lipson Columbia University Project Website |

Boyuan Chen 32 Jan 02, 2023
Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV

Object tracking using YOLO and a tracker(KCF, MOSSE, CSRT) in openCV File YOLOv3 weight can be downloaded

Ngoc Quyen Ngo 2 Mar 27, 2022
Storchastic is a PyTorch library for stochastic gradient estimation in Deep Learning

Storchastic is a PyTorch library for stochastic gradient estimation in Deep Learning

Emile van Krieken 140 Dec 30, 2022
Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python

FlappyAI Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python Everything Used Genetic Algorithm especially NEAT conce

Eryawan Presma Y. 2 Mar 24, 2022
Generative Modelling of BRDF Textures from Flash Images [SIGGRAPH Asia, 2021]

Neural Material Official code repository for the paper: Generative Modelling of BRDF Textures from Flash Images [SIGGRAPH Asia, 2021] Henzler, Deschai

Philipp Henzler 80 Dec 20, 2022
Simple object detection app with streamlit

object-detection-app Simple object detection app with streamlit. Upload an image and perform object detection. Adjust the confidence threshold to see

Robin Cole 68 Jan 02, 2023
BridgeGAN - Tensorflow implementation of Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation.

Bridging the Gap between Label- and Reference based Synthesis(ICCV 2021) Tensorflow implementation of Bridging the Gap between Label- and Reference-ba

huangqiusheng 8 Jul 13, 2022
LabelImg is a graphical image annotation tool.

LabelImgPlus LabelImg is a graphical image annotation tool. This project is not updated with new functions now. More functions are supported with Labe

lzx1413 200 Dec 20, 2022
PyTorch implementation of CVPR'18 - Perturbative Neural Networks

This is an attempt to reproduce results in Perturbative Neural Networks paper. See original repo for details.

Michael Klachko 57 May 14, 2021
Seg-Torch for Image Segmentation with Torch

Seg-Torch for Image Segmentation with Torch This work was sparked by my personal research on simple segmentation methods based on deep learning. It is

Eren Gölge 37 Dec 12, 2022
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

Jason Antic 15.8k Jan 04, 2023
WaveFake: A Data Set to Facilitate Audio DeepFake Detection

WaveFake: A Data Set to Facilitate Audio DeepFake Detection This is the code repository for our NeurIPS 2021 (Track on Datasets and Benchmarks) paper

Chair for Sys­tems Se­cu­ri­ty 27 Dec 22, 2022
Tutorial on scikit-learn and IPython for parallel machine learning

Parallel Machine Learning with scikit-learn and IPython Video recording of this tutorial given at PyCon in 2013. The tutorial material has been rearra

Olivier Grisel 1.6k Dec 26, 2022
Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Graph Notebook: easily query and visualize graphs The graph notebook provides an easy way to interact with graph databases using Jupyter notebooks. Us

Amazon Web Services 501 Dec 28, 2022
Stochastic gradient descent with model building

Stochastic Model Building (SMB) This repository includes a new fast and robust stochastic optimization algorithm for training deep learning models. Th

S. Ilker Birbil 22 Jan 19, 2022
Python scripts form performing stereo depth estimation using the CoEx model in ONNX.

ONNX-CoEx-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the CoEx model in ONNX. Stereo depth estimation on the

Ibai Gorordo 8 Dec 29, 2022
Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

Update 2019/06/24: A model trained on 10% of the Shepard-Metzler dataset has been added, the following notebook explains the main features of this mod

Jesper Wohlert 313 Dec 27, 2022
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++ [ICCV-2021]. Overview This package contains the model implementation and training

Google Research 365 Dec 30, 2022
Companion code for the paper "An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence" (NeurIPS 2021)

ReLU-GP Residual (RGPR) This repository contains code for reproducing the following NeurIPS 2021 paper: @inproceedings{kristiadi2021infinite, title=

Agustinus Kristiadi 4 Dec 26, 2021
Deep learning for spiking neural networks

A deep learning library for spiking neural networks. Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and even

Electronic Vision(s) Group — BrainScaleS Neuromorphic Hardware 59 Nov 28, 2022