TY - JOUR

T1 - Biomolecular Assemblies

T2 - Moving from Observation to Predictive Design

AU - Wilson, Corey J

AU - Bommarius, Andreas S

AU - Champion, Julie A

AU - Chernoff, Yury O

AU - Lynn, David G

AU - Paravastu, Anant K

AU - Liang, Chen

AU - Hsieh, Ming-Chien

AU - Heemstra, Jennifer M

PY - 2018/12/26

Y1 - 2018/12/26

N2 - Biomolecular assembly is a key driving force in nearly all life processes, providing structure, information storage, and communication within cells and at the whole organism level. These assembly processes rely on precise interactions between functional groups on nucleic acids, proteins, carbohydrates, and small molecules, and can be fine-tuned to span a range of time, length, and complexity scales. Recognizing the power of these motifs, researchers have sought to emulate and engineer biomolecular assemblies in the laboratory, with goals ranging from modulating cellular function to the creation of new polymeric materials. In most cases, engineering efforts are inspired or informed by understanding the structure and properties of naturally occurring assemblies, which has in turn fueled the development of predictive models that enable computational design of novel assemblies. This Review will focus on selected examples of protein assemblies, highlighting the story arc from initial discovery of an assembly, through initial engineering attempts, toward the ultimate goal of predictive design. The aim of this Review is to highlight areas where significant progress has been made, as well as to outline remaining challenges, as solving these challenges will be the key that unlocks the full power of biomolecules for advances in technology and medicine.

AB - Biomolecular assembly is a key driving force in nearly all life processes, providing structure, information storage, and communication within cells and at the whole organism level. These assembly processes rely on precise interactions between functional groups on nucleic acids, proteins, carbohydrates, and small molecules, and can be fine-tuned to span a range of time, length, and complexity scales. Recognizing the power of these motifs, researchers have sought to emulate and engineer biomolecular assemblies in the laboratory, with goals ranging from modulating cellular function to the creation of new polymeric materials. In most cases, engineering efforts are inspired or informed by understanding the structure and properties of naturally occurring assemblies, which has in turn fueled the development of predictive models that enable computational design of novel assemblies. This Review will focus on selected examples of protein assemblies, highlighting the story arc from initial discovery of an assembly, through initial engineering attempts, toward the ultimate goal of predictive design. The aim of this Review is to highlight areas where significant progress has been made, as well as to outline remaining challenges, as solving these challenges will be the key that unlocks the full power of biomolecules for advances in technology and medicine.

UR - http://www.scopus.com/inward/record.url?scp=85054655258&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/biomolecular-assemblies-moving-observation-predictive-design

U2 - 10.1021/acs.chemrev.8b00038

DO - 10.1021/acs.chemrev.8b00038

M3 - Review article

C2 - 30281290

VL - 118

SP - 11519

EP - 11574

JO - Chemical Reviews

JF - Chemical Reviews

SN - 0009-2665

IS - 24

ER -