2018
DOI: 10.1039/c8cp05037f
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Polydopamine and eumelanin models in various oxidation states

Abstract: The most stable molecular structures of PDA and eumelanin are proposed.

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Cited by 33 publications
(48 citation statements)
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“…Proposed structures of PDA without satisfactory experimental confirmation or experimental and computational disproval. [20,15] Cyclic indole tetramers were found in eumelanins formed by oxidative polymerization of DHI. [15] Scheme 10) [21] and dopamine quinone [14] are formed in the initial steps (Scheme 10).…”
Section: Structure and Properties Of Pdamentioning
confidence: 99%
“…Proposed structures of PDA without satisfactory experimental confirmation or experimental and computational disproval. [20,15] Cyclic indole tetramers were found in eumelanins formed by oxidative polymerization of DHI. [15] Scheme 10) [21] and dopamine quinone [14] are formed in the initial steps (Scheme 10).…”
Section: Structure and Properties Of Pdamentioning
confidence: 99%
“…Based on ab initio [35]. This assumption of tetrameric dopamine based structures [36][37][38] as building blocks of PDA is however heavily debated [39] and additional experimental proofs are required.…”
Section: Polydopamine As a Eumelanin Analoguementioning
confidence: 99%
“…For example, the chemical reactivity and stability of molecules can be estimated using density functional theory (DFT). [6,7] Molecular dynamics (MD) and the finite element method (FEM) can be applied to simulate a wide range of mechanical behaviors of materials at the nano-scale and continuum-scale, respectively. [8,9] Nowadays, simulations of material properties can be performed on a laptop, workstation, or computer cluster, depending on the computational cost.…”
Section: Introductionmentioning
confidence: 99%
“…[26] Chen et al proposed the most stable molecular structures for eumelanin and polydopamine by using high-throughput DFT to screen thousands of probable candidates. [6,7] However, when the design space is vast, using a brute-force approach is computationally infeasible even with modern algorithms and supercomputers. Therefore, optimization methods such as greedy algorithms and gradientbased algorithms are typically implemented in inverse design problems to search for optimal designs without having to explore the entire design space.…”
Section: Introductionmentioning
confidence: 99%