MDSINE2 Dataset Inference Analysis

NIAID Data Ecosystem2026-05-01 收录

微生物组动态推断

分子相互作用建模

数据链接：

https://zenodo.org/record/8006853 数据链接链接失效反馈

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资源简介：

MDSINE2 Inference Analysis files. 1) Replicate + Inference 2) Cross-Validation inference with comparator analysis included

创建时间：

2023-08-08

Prediction of Self-Diffusion in Binary Fluid Mixtures Using Artificial Neural Networks

流体扩散预测

分子相互作用建模

Artificial neural networks (ANNs) were developed to accurately predict the self-diffusion constants for individual components in binary fluid mixtures. The ANNs were tested on an experimental database

NIAID Data Ecosystem70

Impact of Hydrogen Bonding on P‑Glycoprotein Efflux Transport as Revealed by Evaluation of a De Novo Prediction Model

药物转运体预测

分子相互作用建模

Drug efflux transport by the permeability glycoprotein (P-gp) frequently diminishes drug efficacy, making the prediction of the P-gp efflux ratio critically significant. Most contemporary computationa

NIAID Data Ecosystem30

A protein self-assembly model guided by electrostatic and hydrophobic dipole moments

蛋白质自组装

分子相互作用建模

Protein self-assembling is studied under the light of the Biological Membrane model. To this purpose we define a simplified formulation of hydrophobic interaction energy in analogy with electrostatic

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MOESM7 of Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies

氢键预测

分子相互作用建模

Additional file 5. HBD complexes database.

Figshare2019-12-06 更新60

MATLAB program KDFitting.mlapp.

脂质分析

分子相互作用建模

This program takes the liposome size distribution, the experimental photobleaching distribution, the designated (Pfluor, Pbg) values, the reconstitution yield, the smallest liposome size radius that a

NIAID Data Ecosystem20

MDSINE2 Dataset Inference Analysis

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