TY - CHAP
T1 - Computational methods for structural and functional studies of alzheimer’s amyloid ion channels
AU - Jang, Hyunbum
AU - Teran Arce, Fernando
AU - Lee, Joon
AU - Gillman, Alan L.
AU - Ramachandran, Srinivasan
AU - Kagan, Bruce L.
AU - Lal, Ratnesh
AU - Nussinov, Ruth
N1 - Publisher Copyright:
© Springer Science+Business Media New York 2016.
PY - 2016
Y1 - 2016
N2 - Aggregation can be studied by a range of methods, experimental and computational. Aggregates form in solution, acrosssolid surfaces, and on and in the membrane, where they may assemble into unregulated leaking ion channels. Experimental probes of ion channel conformations and dynamics are challenging. Atomistic molecular dynamics (MD) simulations are capable of providing insight intostructural details of amyloid ion channels in the membrane at aresolution not achievable experimentally. Since data suggest that late stage Alzheimer’s disease involves formation of toxic ion channels, MD simulations have been used aiming to gain insight into the channel shapes, morphologies, pore dimensions, conformational heterogeneity, and activity. These can beexploited for drug discovery. Here we describe computational methods to model amyloid ion channels containing the β-sheet motif at atomic scale and to calculate toxic poreactivity in the membrane.
AB - Aggregation can be studied by a range of methods, experimental and computational. Aggregates form in solution, acrosssolid surfaces, and on and in the membrane, where they may assemble into unregulated leaking ion channels. Experimental probes of ion channel conformations and dynamics are challenging. Atomistic molecular dynamics (MD) simulations are capable of providing insight intostructural details of amyloid ion channels in the membrane at aresolution not achievable experimentally. Since data suggest that late stage Alzheimer’s disease involves formation of toxic ion channels, MD simulations have been used aiming to gain insight into the channel shapes, morphologies, pore dimensions, conformational heterogeneity, and activity. These can beexploited for drug discovery. Here we describe computational methods to model amyloid ion channels containing the β-sheet motif at atomic scale and to calculate toxic poreactivity in the membrane.
KW - Amyloid channel
KW - CHARMM
KW - Lipid bilayer
KW - Molecular dynamics simulations
KW - NAMD
KW - β-Sheet channel
UR - http://www.scopus.com/inward/record.url?scp=84943774194&partnerID=8YFLogxK
U2 - 10.1007/978-1-4939-2978-8_16
DO - 10.1007/978-1-4939-2978-8_16
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C2 - 26453217
AN - SCOPUS:84943774194
T3 - Methods in Molecular Biology
SP - 251
EP - 268
BT - Methods in Molecular Biology
PB - Humana Press Inc.
ER -