• Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches. 

  Portelli, S; Myung, Y; Furnham, N; Vedithi, SC; Pires, DEV; Ascher, DB (Nature Publishing Group, 2020-10-22)

  Rifampicin resistance is a major therapeutic challenge, particularly in tuberculosis, leprosy, P. aeruginosa and S. aureus infections, where it develops via missense mutations in gene rpoB. Previously we have highlighted ...

• A Key Motif in the Cholesterol-Dependent Cytolysins Reveals a Large Family of Related Proteins 

  Evans, JC; Johnstone, BA; Lawrence, SL; Morton, CJ; Christie, MP; Parker, MW; Tweten, RK (AMER SOC MICROBIOLOGY, 2020-09-01)

  The cholesterol-dependent cytolysins (CDCs) are bacterial, β-barrel, pore-forming toxins. A central enigma of the pore-forming mechanism is how completion of the prepore is sensed to initiate its conversion to the pore. ...

• Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture 

  Zhang, Q; Sidorenko, J; Couvy-Duchesne, B; Marioni, RE; Wright, MJ; Goate, AM; Marcora, E; Huang, K-L; Porter, T; Laws, SM; ... (NATURE RESEARCH, 2020-09-23)

  Genetic association studies have identified 44 common genome-wide significant risk loci for late-onset Alzheimer's disease (LOAD). However, LOAD genetic architecture and prediction are unclear. Here we estimate the optimal ...

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