Wichapong Kanin, Silvestre-Roig Carlos, Braster Quinte, Schumski Ariane, Soehnlein Oliver, Nicolaes Gerry A F
Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands.
Institute for Cardiovascular Prevention (IPEK), LMU Munich Hospital, Munich, Germany.
Comput Struct Biotechnol J. 2021 Jan 21;19:934-948. doi: 10.1016/j.csbj.2021.01.026. eCollection 2021.
A growing body of research has demonstrated that targeting intrinsically disordered proteins (IDPs) and intrinsically disordered protein regions (IDPRs) is feasible and represents a new trending strategy in drug discovery. However, the number of inhibitors targeting IDPs/IDPRs is increasing slowly due to limitations of the methods that can be used to accelerate the discovery process. We have applied structure-based methods to successfully develop the first peptidic inhibitor ( - istone nhibitory ptide) that targets histone H4 that are released from NETs (Neutrophil Extracellular Traps). HIPe binds stably to the disordered N-terminal tail of histone H4, thereby preventing histone H4-induced cell death. Recently, by utilisation of the same state-of-the-art approaches, we have developed a novel peptidic inhibitor ( - yclical istone H2A nterference eptide) that binds to NET-resident histone H2A, which results in a blockade of monocyte adhesion and consequently reduction in atheroprogression. Here, we present comprehensive details on the computational methods utilised to design and develop HIPe and CHIP. We have exploited protein-protein complexes as starting structures for rational peptide design and then applied binding free energy methods to predict and prioritise binding strength of the designed peptides with histone H4 and H2A. By doing this way, we have modelled only around 20 peptides and from these were able to select 4-5 peptides, from a total of more than a trillion candidate peptides, for functional characterisation in different experiments. The developed computational protocols are generic and can be widely used to design and develop novel inhibitors for other disordered proteins.
越来越多的研究表明,针对内在无序蛋白质(IDPs)和内在无序蛋白质区域(IDPRs)进行靶向是可行的,并且代表了药物发现中的一种新趋势策略。然而,由于可用于加速发现过程的方法存在局限性,针对IDPs/IDPRs的抑制剂数量增长缓慢。我们应用基于结构的方法成功开发了第一种靶向从中性粒细胞胞外陷阱(NETs)释放的组蛋白H4的肽类抑制剂(组蛋白抑制肽)。HIPe与组蛋白H4无序的N末端尾巴稳定结合,从而防止组蛋白H4诱导的细胞死亡。最近,通过利用相同的先进方法,我们开发了一种新型肽类抑制剂(环化组蛋白H2A干扰肽),它与NETs中的组蛋白H2A结合,导致单核细胞黏附受阻,从而减少动脉粥样硬化进展。在这里,我们详细介绍了用于设计和开发HIPe和CHIP的计算方法。我们利用蛋白质-蛋白质复合物作为合理肽设计的起始结构,然后应用结合自由能方法预测和优先排序设计的肽与组蛋白H4和H2A的结合强度。通过这种方式,我们仅对约20种肽进行了建模,并从总共超过一万亿种候选肽中能够选择4-5种肽用于不同实验中的功能表征。所开发的计算方案具有通用性,可广泛用于设计和开发针对其他无序蛋白质的新型抑制剂。