日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Single-molecule imaging of small aggregates of IAPP in type 2 diabetes serum with rationally-designed antibody-like scaffolds

利用合理设计的抗体样支架对2型糖尿病血清中IAPP小聚集体进行单分子成像

Lin, Jiacheng; Zhang, Yu P; Chia, Sean; Klenerman, David; Sormanni, Pietro; Vendruscolo, Michele

Disulphide and sequence-encoded conformational priors guide nanobody structure prediction

二硫键和序列编码的构象先验信息指导纳米抗体结构预测

Ali, Montader; Jaskolowski, Mateusz; Greenig, Matthew; Nguyen, Tung H; Crnogaj, Mia; Smorodina, Eva; Ramon, Aubin; Zhao, Haowen; Fernández-Quintero, Monica L; Ghedin, Elodie; Greiff, Victor; Sormanni, Pietro

Targeted Protein Modification with an Antibody-Based System

利用抗体系统进行靶向蛋白质修饰

Rimon, Oded; Konc, Juraj; Černauskienė, Inga; Ali, Montader; Roy Chowdhury, Vaidehi; Sormanni, Pietro; Bernardes, Gonçalo J L; Vendruscolo, Michele

Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt

基于有限数据预测蛋白质生物物理特性:以纳米抗体热稳定性为例,通过NanoMelt进行案例研究

Ramon, Aubin; Ni, Mingyang; Predeina, Olga; Gaffey, Rebecca; Kunz, Patrick; Onuoha, Shimobi; Sormanni, Pietro

Development of potent humanized TNFα inhibitory nanobodies for therapeutic applications in TNFα-mediated diseases.

开发强效人源化TNFα抑制纳米抗体,用于治疗TNFα介导的疾病

Yin Tao, Ramon Aubin, Greenig Matthew, Sormanni Pietro, D'Adamio Luciano

The SpyBLI cell-free pipeline for the rapid quantification of binding kinetics from crude samples.

SpyBLI 无细胞流程可快速定量分析粗样品中的结合动力学

Predeina Olga, Atkinson Misha, Wissett Oliver, Ali Montader, Visentin Cristina, Ricagno Stefano, Keeble Anthony H, Howarth Mark R, Sormanni Pietro

SurfDiff: protein surface profiling for selective or broadly reactive epitope prioritisation in binder and immunogen design

SurfDiff:用于结合剂和免疫原设计中选择性或广谱反应性表位优先排序的蛋白质表面分析

Jedlitzke, Benedikt; Wissett, Oliver; Nguyen, Tung H; Ghedin, Elodie; Sormanni, Pietro

AIntibody: an experimentally validated in silico antibody discovery design challenge

AIntibody:一项经实验验证的计算机辅助抗体发现设计挑战

Erasmus, M Frank; Spector, Laura; Ferrara, Fortunato; DiNiro, Roberto; Pohl, Thomas J; Perea-Schmittle, Katheryn; Wang, Wei; Tessier, Peter M; Richardson, Crystal; Turner, Laure; Kumar, Sumit; Bedinger, Daniel; Sormanni, Pietro; Fernández-Quintero, Monica L; Ward, Andrew B; Loeffler, Johannes R; Swanson, Olivia M; Deane, Charlotte M; Raybould, Matthew I J; Evers, Andreas; Sellmann, Carolin; Bachas, Sharrol; Ruffolo, Jeff; Nastri, Horacio G; Ramesh, Karthik; Sørensen, Jesper; Croasdale-Wood, Rebecca; Hijano, Oliver; Leal-Lopes, Camila; Shahsavarian, Melody; Qiu, Yu; Marcatili, Paolo; Vernet, Erik; Akbar, Rahmad; Friedensohn, Simon; Wagner, Rick; Kurella, Vinodh Babu; Malhotra, Shipra; Kumar, Satyendra; Kidger, Patrick; Almagro, Juan C; Furfine, Eric; Stanton, Marty; Graff, Christilyn P; Villalba, Santiago David; Tomszak, Florian; Teixeira, Andre A R; Hopkins, Elizabeth; Dovner, Molly; D'Angelo, Sara; Bradbury, Andrew R M

Discovery of potent inhibitors of α-synuclein aggregation using structure-based iterative learning

使用基于结构的迭代学习发现 α-突触核蛋白聚集的有效抑制剂

Robert I Horne, Ewa A Andrzejewska, Parvez Alam #, Z Faidon Brotzakis #, Ankit Srivastava #, Alice Aubert, Magdalena Nowinska, Rebecca C Gregory, Roxine Staats, Andrea Possenti, Sean Chia, Pietro Sormanni, Bernardino Ghetti, Byron Caughey, Tuomas P J Knowles, Michele Vendruscolo

Automated optimization of the solubility of a hyper-stable α-amylase

超稳定α-淀粉酶溶解度的自动化优化

Montader Ali ,Matthew Greenig ,Marc Oeller ,Misha Atkinson ,Xing Xu ,Pietro Sormanni