An Investigation into the Role of Solvation in a Well Characterized Chiral Recognition System

This paper presents a methodology for integrating connectionist and symbolic approaches to 2D image recognition. The proposed integration paradigm exploits the synergy of the two approaches for both the training and the recognition phases of an image recognition system. In the training phase, a symbolic module provides an approximate solution to a given image-recognition problem in terms of symbolic models. Such models are hierarchically organized into different abstraction levels, and include contextual descriptions. After mapping such models into a complex neural architecture, a neural training process is carried out to optimize the solution of the recognition problem. The so-obtained neural networks are used during the recognition phase for pattern classification. In this phase, the role of symbolic modules consists of managing complex aspects of information processing: abstraction levels, contextual information, and global recognition hypotheses. A hybrid system implementing the proposed integration paradigm is presented, and its advantages over single approaches are assessed. Results on Magnetic Resonance image recognition are reported, and comparisons with some well-known classifiers are made.

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Crystal and Molecular Structure of the [6-Deoxy-6-[(2-(4-imidazolyl)ethyl)amino]- cyclomaltoheptaose]copper(II) Ternary Complex withl-Tryptophanate. Role of Weak Forces in the Chiral Recognition Process Assisted by a Metallocyclodextrin

Inorganic Chemistry ◽

10.1021/ic951605c ◽

1996 ◽

Vol 35 (15) ◽

pp. 4497-4504 ◽

Cited By ~ 19

Author(s):

Raffaele P. Bonomo ◽

Benedetto Di Blasio ◽

Giuseppe Maccarrone ◽

Vincenzo Pavone ◽

Carlo Pedone ◽

...

Keyword(s):

Molecular Structure ◽

Chiral Recognition ◽

Ternary Complex ◽

Crystal And Molecular Structure ◽

Recognition Process ◽

Weak Forces

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The “Bridge” Game: Role of the Fourth Player in Chiral Recognition

Chemistry - A European Journal ◽

10.1002/chem.201002828 ◽

2011 ◽

Vol 17 (11) ◽

pp. 3078-3081 ◽

Cited By ~ 4

Author(s):

Caterina Fraschetti ◽

Marco Pierini ◽

Claudio Villani ◽

Francesco Gasparrini ◽

Stefano Levi Mortera ◽

...

Keyword(s):

Chiral Recognition

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The role of floral oils in the nestmate recognition system of honey bees (Apis melliferaL.)

Apidologie ◽

10.1051/apido:2000127 ◽

2000 ◽

Vol 31 (3) ◽

pp. 357-365 ◽

Cited By ~ 19

Author(s):

Stephen G. Downs ◽

Francis L.W. Ratnieks ◽

Sarah L. Jefferies ◽

Helen E. Rigby

Keyword(s):

Honey Bees ◽

Nestmate Recognition ◽

Recognition System

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Lipoprotein Drug Delivery Vehicles for Cancer: Rationale and Reason

International Journal of Molecular Sciences ◽

10.3390/ijms20246327 ◽

2019 ◽

Vol 20 (24) ◽

pp. 6327 ◽

Cited By ~ 9

Author(s):

Jaideep Chaudhary ◽

Joseph Bower ◽

Ian R. Corbin

Keyword(s):

Neutral Lipids ◽

Physiological Role ◽

Recognition System ◽

Molecular Data ◽

Plasma Lipoproteins ◽

Molecular Evidence ◽

Nanoparticle Delivery ◽

Drug Delivery Vehicles ◽

Delivery Vehicles

Lipoproteins are a family of naturally occurring macromolecular complexes consisting amphiphilic apoproteins, phospholipids, and neutral lipids. The physiological role of mammalian plasma lipoproteins is to transport their apolar cargo (primarily cholesterol and triglyceride) to their respective destinations through a highly organized ligand-receptor recognition system. Current day synthetic nanoparticle delivery systems attempt to accomplish this task; however, many only manage to achieve limited results. In recent years, many research labs have employed the use of lipoprotein or lipoprotein-like carriers to transport imaging agents or drugs to tumors. The purpose of this review is to highlight the pharmacologic, clinical, and molecular evidence for utilizing lipoprotein-based formulations and discuss their scientific rationale. To accomplish this task, evidence of dynamic drug interactions with circulating plasma lipoproteins are presented. This is followed by epidemiologic and molecular data describing the association between cholesterol and cancer.

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