U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Antonio Cardone (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 1 - 20 of 20

Investigation of the effect of peptide p5 targeting CDK5-p25 hyperactivity on Munc18-1(P67) regulating neuronal exocytosis using molecular simulations

July 2, 2024
Author(s)
Tejaswi Tammareddy, Walid Keyrouz, Ram Sriram, Harish Pant, Antonio Cardone, Jeffery Kluada
Munc18–1 is an SM (sec1/munc-like) family protein involved in vesicle fusion and neuronal exocytosis. Munc18–1 is known to regulate the exocytosis process by binding with closed- and open-state conformations of Syntaxin1, a protein belonging to the SNARE

Meta-model for ADMET Property Prediction Analysis

December 7, 2023
Author(s)
Sarala Padi, Antonio Cardone, Ram Sriram
In drug discovery analysis ADMET properties, such as chemical absorption, distribution, metabolism, excretion, and toxicity, play a critical role. They allow the quantitative evaluation of a designed drug's efficacy. Several machine learning models have

Computational Study of the Allosteric Effects of p5 on the CDK5-p25 Hyperactivity as Alternative Inhibitory Mechanisms in Neurodegeneration

June 30, 2022
Author(s)
Tejaswi Tammareddy, Walid Keyrouz, Ram D. Sriram, Harish C. Pant, Antonio Cardone, Jeffery B. Klauda
The cyclin-dependent kinase (CDK5) forms a stable complex with its activator p25, leading to the hyperphosphorylation of tau proteins and to the formation of plaques and tangles that are considered to be one of the typical causes of Alzheimer's disease (AD

A Convolutional Neural Networks-Based Approach for Texture Directionality Detection

January 12, 2022
Author(s)
Marcin Kociolek, Michal Kozlowski, Antonio Cardone
The perceived texture directionality is an important, not fully explored image characteristic. In many applications texture directionality detection is of fundamental importance. Several approaches have been proposed, such as the fast Fourier-based method

Rapid, quantitative therapeutic screening for Alzheimer's enzymes enabled by optimal signal transduction with transistors

April 14, 2020
Author(s)
Son T. Le, Michelle A. Morris, Antonio Cardone, Nicholas B. Guros, Jeffery B. Klauda, Brent A. Sperling, Curt A. Richter, Harish C. Pant, Arvind Balijepalli
We show that commercially sourced n-channel silicon field-effect transistors (nFETs) operating under closed-loop control achieve a resolution of (7.2+/-0.3)x10-3 pH units with a bandwidth of 10 Hz. The results represent an 3-fold improvement in performance

Quantum Capacitance-Limited MoS2 Biosensors Enable Remote Label-Free Enzyme Measurements

August 7, 2019
Author(s)
Son T. Le, Nicholas B. Guros, Robert C. Bruce, Antonio Cardone, Niranjana D. Amin, Siyuan Zhang, Jeffery B. Klauda, Harish C. Pant, Curt A. Richter, Arvind Balijepalli
We have demonstrated atomically thin, quantum capacitance-limited, field-effect transistors (FETs) that enable the detection of pH changes with 75-fold higher sensitivity (4.4 V/pH) over the Nernst value of 59 mV/pH at room temperature when used as a

3D Cellular Morphotyping of Cell Niches

August 31, 2017
Author(s)
Stephen J. Florczyk, Mylene H. Simon, Derek Juba, Patrick S. Pine, Sumona Sarkar, Desu Chen, Paula J. Baker, Subhadip Bodhak, Antonio Cardone, Mary C. Brady, Peter Bajcsy, Carl G. Simon Jr.
Three-dimensional (3D) cellular morphotyping is introduced for assessing and comparing the niches provided by biomaterial scaffolds. Many scaffold systems have been advanced to provide synthetic cell niches for tissue engineering and drug screening

Survey Statistics of Automated Segmentations Applied to Optical Imaging of Mammalian Cells

January 8, 2016
Author(s)
Peter Bajcsy, Antonio Cardone, Joe Chalfoun, Michael W. Halter, Derek Juba, Marcin Kociolek, Michael P. Majurski, Adele P. Peskin, Carl G. Simon Jr., Mylene H. Simon, Antoine Vandecreme, Anne L. Plant, Mary C. Brady
The goal of this survey paper is to overview cellular measurements using optical microscopy imaging followed by automated image segmentation. The cellular measurements of primary interest are taken from mammalian cells and their components. They are

Detection and characterization of nonspecific, sparsely-populated binding modes for conformational selection in the early stages of complexation

March 18, 2015
Author(s)
Antonio Cardone, Aaron Bornstein, Harish C. Pant, Mary C. Brady, Ram D. Sriram, Sergio Hassan
A method is proposed to study protein-ligand binding in a system governed by specific and non-specific interactions. Strong associations lead to narrow conformational distributions in the proteins configuration space; weak and ultra-weak associations lead

Parallel Geometric Classification of Stem Cells by Their 3D Morphology

July 1, 2013
Author(s)
Derek Juba, Antonio Cardone, Cheuk Y. Ip, Carl Simon Jr., Christopher K. Tison, Girish Kumar, Mary C. Brady
Autologous stem cells show great promise for tissue engineering as they can regenerate diseased or damaged tissue, without requiring an organ donor or causing immune rejection. A primary goal of regenerative medicine is to identify methods for controlling

Segmenting Time-lapse Phase Contrast Images of Adjacent NIH 3T3 Cells

January 15, 2013
Author(s)
Joe Chalfoun, Alden A. Dima, Marcin Kociolek, Michael W. Halter, Antonio Cardone, Adele P. Peskin, Peter Bajcsy, Mary C. Brady
We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are in contact. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell counting

Image Classification of Vascular Smooth Muscle Cells

November 11, 2010
Author(s)
Michael Grasso, Ronil Mokashi , Alden A. Dima, Antonio Cardone, Kiran Bhadriraju, Anne L. Plant, Mary C. Brady, Yaacov Yesha, Yelena Yesha
The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system was

AN AUTOMATIC OVERLAP-BASED CELL TRACKING SYSTEM

February 26, 2010
Author(s)
Joe Chalfoun, Antonio Cardone, Alden A. Dima, Michael Halter, Daniel P. Allen
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an overlap-based cell tracking algorithm that has the ability to track cells across a set of time-lapse

Overlap-Based Cell Tracker

February 2, 2010
Author(s)
Joe Chalfoun, Antonio Cardone, Alden A. Dima, Michael Halter, Daniel P. Allen
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an introduction to the general principle of an overlap cell tracking software developed by NIST. This