:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Chaturvedi, Archit
Format:	Preprint
Published:	2024
Subjects:	Biomolecules
Online Access:	https://arxiv.org/abs/2405.06644
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comprehensive Insights into the Cholesterol-Mediated Modulation of Membrane Function through Molecular Dynamics Simulations
by: Khodadadi, Ehsaneh, et al.
Published: (2025)

A Mathematical Theory of Redox Biology
by: Cobley, James N., et al.
Published: (2026)

Mathematical Insights into Protein Architecture: Persistent Homology and Machine Learning Applied to the Flagellar Motor
by: Lamine, Zakaria, et al.
Published: (2025)

An RNA condensate model for the origin of life
by: Fine, Jacob L., et al.
Published: (2024)

Inferring protein folding mechanisms from natural sequence diversity
by: Galpern, Ezequiel A., et al.
Published: (2024)

Guiding Generative Protein Language Models with Reinforcement Learning
by: Stocco, Filippo, et al.
Published: (2024)

PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation
by: Wang, Leyao, et al.
Published: (2024)

Joint Design of 5' Untranslated Region and Coding Sequence of mRNA
by: Liu, Yang, et al.
Published: (2024)

Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein-Ligand Binding Affinity Prediction
by: Zia, Mushal, et al.
Published: (2024)

Machine learning framework to predict the performance of lipid nanoparticles for nucleic acid delivery
by: Kumar, Gaurav, et al.
Published: (2024)

Animal-associated marine Acidobacteria with a rich natural product repertoire
by: Leopold-Messer, Stefan, et al.
Published: (2024)

CowScape: Quantitative reconstruction of the conformational landscape of biological macromolecules from cryo-EM data
by: Lambrecht, Felix, et al.
Published: (2024)

BioTD: an online database of biotoxins
by: Wang, Gaoang, et al.
Published: (2024)

Molecular Communication-Based Quorum Sensing Disruption for Enhanced Immune Defense
by: Zulfiqar, Shees, et al.
Published: (2024)

Deep learning assisted SERS detection of prolines and hydroxylated prolines using nitrilotriacetic acid functionalized gold nanopillars
by: Zhang, Yuan, et al.
Published: (2024)

Adapter-dependent Adapter Methylation Assay
by: Zhang, Jia, et al.
Published: (2024)

Multiscale differential geometry learning for protein flexibility analysis
by: Feng, Hongsong, et al.
Published: (2024)

Isolation and Characterisation of Polypropylene Microplastic-Utilising Bacterium from the Antarctic Soil
by: Razak, Nur Ain Shuhada Ab, et al.
Published: (2024)

Reassessing the Exon-Foldon correspondence using Frustration Analysis
by: Galpern, Ezequiel A., et al.
Published: (2024)

SMARTINI3: Systematic Parametrization of Realistic Multi-Scale Membrane Models via Unsupervised Learning and Multi-Objective Evolutionary Algorithms
by: Soleimani, Alireza, et al.
Published: (2024)

Evaluation of In vitro anti-inflammatory activity and Insilico pharmacokinetics and molecular docking study of Horsfieldia iryaghedhi
by: HKK, Rajapaksha, et al.
Published: (2024)

In silico bioactivity prediction of proteins interacting with graphene-based nanomaterials guides rational design of biosensor
by: Ye, Jing, et al.
Published: (2024)

Assessment of scoring functions for computational models of protein-protein interfaces
by: Sumner, Jacob, et al.
Published: (2024)

Recent methods from statistical inference and machine learning to improve integrative modeling of macromolecular assemblies
by: Arvindekar, Shreyas, et al.
Published: (2024)

Token-Level Guided Discrete Diffusion for Membrane Protein Design
by: Goel, Shrey, et al.
Published: (2024)

AlphaFold two years on: validation and impact
by: Kovalevskiy, Oleg, et al.
Published: (2024)

ProS2Vi: a Python Tool for Visualizing Proteins Secondary Structure
by: Qasim, Luckman, et al.
Published: (2024)

Differential Effects of Sequence-Local versus Nonlocal Charge Patterns on Phase Separation and Conformational Dimensions of Polyampholytes as Model Intrinsically Disordered Proteins
by: Pal, Tanmoy, et al.
Published: (2024)

ProtScan: Modeling and Prediction of RNA-Protein Interactions
by: Corrado, Gianluca, et al.
Published: (2024)

Directly Optimizing for Synthesizability in Generative Molecular Design using Retrosynthesis Models
by: Guo, Jeff, et al.
Published: (2024)

Compact assessment of molecular surface complementarities enhances neural network-aided prediction of key binding residues
by: Grassmann, Greta, et al.
Published: (2024)

IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins (IDP) Using Large Language Models
by: Mollaei, Parisa, et al.
Published: (2024)

Machine learning-assisted search for novel coagulants: when machine learning can be efficient even if data availability is low
by: Rovenchak, Andrij, et al.
Published: (2024)

ToF-SIMS data analysis of Shewanella oneidensis MR-1 biofilms
by: Parker, Gabriel D., et al.
Published: (2024)

Leveraging Deep Generative Model For Computational Protein Design And Optimization
by: Lai, Boqiao
Published: (2024)

Design of Ligand-Binding Proteins with Atomic Flow Matching
by: Liu, Junqi, et al.
Published: (2024)

Advances of Deep Learning in Protein Science: A Comprehensive Survey
by: Hu, Bozhen, et al.
Published: (2024)

AI-driven Alternative Medicine: A Novel Approach to Drug Discovery and Repurposing
by: Bilokon, Oleksandr, et al.
Published: (2024)

DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction
by: Lin, Haoyu, et al.
Published: (2024)

Strangers in a foreign land: 'Yeastizing' plant enzymes
by: Van Gelder, Kristen, et al.
Published: (2024)