使用生成AI和深度学习进行分子和材料设计列表

molecular-design 开源项目推荐(46 个)
molecular-design 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 46 个仓库Experiments with expanded ensembles to explore chemical space
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
DENOPTIM is a software package for de novo design and virtual screening of functional molecules of any kind.
GaudiMM: A modular optimization platform for molecular design
ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University.
Agent-driven molecular optimization over chemical space, using Rowan for property scoring and RDKit for constraint-aware candidate design.
Molecular generation using diffusion models and autoregressive transformer models
GPT (Generative Pre-trained Transformer) for de novo molecular design by enforcing specified targets
A 3D Molecular Generation Framework for Data-driven Molecular Applications.
MolMiner, a generative model for fragment-based, 3D-aware, inverse conditional molecular design
A generative AI framework for 3D molecular generation and data-driven molecular design in computational chemistry.
An interactive data exploration tool for json structured ionic liquid data from ILThermo (NIST)
A Quantitative Ring Complexity Index for Profiling Ring Topology and Chemical Diversity
Multi-objective generative AI for designing novel brain-targeting small molecules.
MARS, Molecular Assembling and Representation Suite, is a program for general purpose computer aided molecular design. This program uses an integer arry data structure to store the information of atom type, atom connectivity, and bond order of a molecule. There are also subroutines that can be used to modify the data structure in order to genera…
BioInsectiNet is a Python-based framework that uses neural networks and genetic algorithms to design and optimize bioinsecticides targeting specific proteins. It generates novel SMILES compounds, predicts toxicity and affinity using IC50 data from FASTA sequences, and performs molecular docking for 3D interaction analysis.
3D pharmacophore-conditioned molecular diffusion with an E(3)-equivariant EGNN backbone. Generates shape-complementary, drug-like molecules conditioned on pharmacophore point clouds and PMI/SSD shape descriptors. Inspired by ShEPhERD (Adams et al., ICLR Oral 2025). PyTorch · e3nn · RDKit.
Deep Learning-Based Property Prediction and Generation of Molecules
My PhD dissertation
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/molecular-design。
- 该话题在 GitHub 上共有 46 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1569 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。