descriptors

ASINEX has elaborated a library of diverse macrocycles using an effective tool box of synthetic methods. The resulting scaffolds are novel, tremendously diverse, medchem-relevant, macrocyclic frameworks.

Macrocyles tend to be larger than traditional screening molecules which make them perfect discovery tools for targets with shallow or extended binding sites. At the same time, their unique character based on restricted flexibility and ability to form intra-molecular hydrogen bonds allows for design approaches effectively optimizing properties such asaqueous solubility and membrane permeability. Many of these macrocycles have been tested for aqueous and DMSO solubility with cut-offs applied at 10 mM in DMSO and 50 µM in PBS (pH 7.4) followed by PAMPA permeability assay.

RNA 在生命活动调控的各个方面发挥着重要作用。随着对疾病机制的深入研究，RNA 的表达、剪切、翻译、稳定性调控等过程已成为疾病干预的新型靶点。通过小分子药物调节这些过程，可以为代谢疾病、遗传疾病和肿瘤患者提供新的治疗模式。

MCE 计算团队收集了 PDB、R-BIND、ROBIN 和内部数据库中的已知 RNA 靶向小分子作为阳性数据集，并从 ROBIN 中收集了非靶向 RNA 的小分子作为阴性数据集。基于 GeminiMol 预训练模型，对这些分子进行编码，并通过 Mordred 计算了 1700+ 分子描述符作为模型的输入。接着用 13 个深度学习模型对这些数据进行学习，所有模型都取得了良好的训练结果，AUROC均超过0.75。选择分类效果最好的 Finetune 模型（AUROC值：0.82，预测准确率：0.76）对 HY-L901P 进行筛选。进一步基于StaR Rules（cLogP≥1.5，Molar Refractivity≥4，Relative Polar Surface Area≤0.3）进行再过滤，最终获得 5,000 个具有潜在 RNA 相互作用活性的小分子化合物。该库同时具备结构多样性，是 RNA 靶向药物开发的有利工具。