@article {2017|2036, title = {VLITL is a major cross-β-sheet signal for fibrinogen Aα-chain frameshift variants.}, journal = {Blood}, volume = {130}, year = {2017}, month = {2017 12 21}, pages = {2799-2807}, abstract = {

The first case of hereditary fibrinogen Aα-chain amyloidosis was recognized \>20 years ago, but disease mechanisms still remain unknown. Here we report detailed clinical and proteomics studies of a French kindred with a novel amyloidogenic fibrinogen Aα-chain frameshift variant, Phe521Leufs, causing a severe familial form of renal amyloidosis. Next, we focused our investigations to elucidate the molecular basis that render this Aα-chain variant amyloidogenic. We show that a 49-mer peptide derived from the C-terminal part of the Phe521Leufs chain is deposited as fibrils in the patient\&$\#$39;s kidneys, establishing that only a small portion of Phe521Leufs directly contributes to amyloid formation in vivo. In silico analysis indicated that this 49-mer Aα-chain peptide contained a motif (VLITL), with a high intrinsic propensity for β-aggregation at residues 44 to 48 of human renal fibrils. To experimentally verify the amyloid propensity of VLITL, we generated synthetic Phe521Leufs-derived peptides and compared their capacity for fibril formation in vitro with that of their VLITL-deleted counterparts. We show that VLITL forms typical amyloid fibrils in vitro and is a major signal for cross-β-sheet self-association of the 49-mer Phe521Leufs peptide identified in vivo, whereas its absence abrogates fibril formation. This study provides compelling evidence that VLITL confers amyloidogenic properties to Aα-chain frameshift variants, yielding a previously unknown molecular basis for the pathogenesis of Aα-chain amyloidosis.

}, keywords = {Amino Acid Motifs, Amino Acid Sequence, Amyloid, Amyloidosis, Familial, Fibrinogen, Frameshift Mutation, Humans, Kidney, Protein Conformation, beta-Strand}, issn = {1528-0020}, doi = {10.1182/blood-2017-07-796185}, author = {Garnier, Cyrille and Briki, Fatma and Nedelec, Brigitte and Le Pogamp, Patrick and Dogan, Ahmet and Rioux-Leclercq, Nathalie and Goude, Renan and Beugnet, Caroline and Martin, Laurent and Delpech, Marc and Bridoux, Frank and Grateau, Gilles and Doucet, Jean and Philippe Derreumaux and Valleix, Sophie} } @article {2017|2042, title = {What Can Human-Guided Simulations Bring to RNA Folding?}, journal = {Biophys J}, volume = {113}, year = {2017}, month = {2017 Jul 25}, pages = {302-312}, abstract = {

Inspired by the recent success of scientific-discovery games for predicting protein tertiary and RNA secondary structures, we have developed an open software for coarse-grained RNA folding simulations, guided by human intuition. To determine the extent to which interactive simulations can accurately predict 3D RNA structures of increasing complexity and lengths (four RNAs with 22-47 nucleotides), an interactive experiment was conducted with 141 participants who had very little knowledge of nucleic acids systems and computer simulations, and had received only a brief description of the important forces stabilizing RNA structures. Their structures and full trajectories have been analyzed statistically and compared to standard replica exchange molecular dynamics simulations. Our analyses show that participants gain easily chemical intelligence to fold simple and nontrivial topologies, with little computer time, and this result opens the door for the use of human-guided simulations to RNA folding. Our experiment shows that interactive simulations have better chances of success when the user widely explores the conformational space. Interestingly, providing on-the-fly feedback of the root mean square deviation with respect to the experimental structure did not improve the quality of the proposed models.

}, keywords = {Access to Information, Computer Simulation, Feedback, Psychological, Humans, Internet, Models, Genetic, Models, Molecular, RNA, RNA Folding, Software, Solvents}, issn = {1542-0086}, doi = {10.1016/j.bpj.2017.05.047}, author = {Mazzanti, Liuba and Doutreligne, S{\'e}bastien and Gageat, Cedric and Philippe Derreumaux and Antoine Taly and Marc Baaden and Pasquali, Samuela} } @article {2017|2030, title = {Why Is Research on Amyloid-β Failing to Give New Drugs for Alzheimer{\textquoteright}s Disease?}, journal = {ACS Chem Neurosci}, volume = {8}, year = {2017}, month = {2017 Jul 19}, pages = {1435-1437}, abstract = {

The two hallmarks of Alzheimer\&$\#$39;s disease (AD) are the presence of neurofibrillary tangles (NFT) made of aggregates of the hyperphosphorylated tau protein and of amyloid plaques composed of amyloid-β (Aβ) peptides, primarily Aβ1-40 and Aβ1-42. Targeting the production, aggregation, and toxicity of Aβ with small molecule drugs or antibodies is an active area of AD research due to the general acceptance of the amyloid cascade hypothesis, but thus far all drugs targeting Aβ have failed. From a review of the recent literature and our own experience based on in vitro, in silico, and in vivo studies, we present some reasons to explain this repetitive failure.

}, keywords = {Alzheimer Disease, Amyloid beta-Peptides, Animals, Drug Discovery, Humans, Neuroprotective Agents}, issn = {1948-7193}, doi = {10.1021/acschemneuro.7b00188}, author = {Doig, Andrew J and Del Castillo-Frias, Maria P and Berthoumieu, Olivia and Tarus, Bogdan and Nasica-Labouze, Jessica and Sterpone, Fabio and Phuong Hoang Nguyen and Hooper, Nigel M and Faller, Peter and Philippe Derreumaux} } @article {2009|2009, title = {Structural diversity of the soluble trimers of the human amylin(20-29) peptide revealed by molecular dynamics simulations}, journal = {J. Chem. Phys.}, volume = {130}, number = {12}, year = {2009}, month = {mar}, pages = {125101}, keywords = {Amino Acid Sequence, Amyloid, Humans, Models, Molecular, Molecular Sequence Data, Peptide Fragments, Protein Multimerization, Protein Structure, Quaternary, Solubility, Solvents}, doi = {10.1063/1.3097982}, author = {Mo, Yuxiang and Lu, Yan and Wei, Guanghong and Philippe Derreumaux} }