Work with Eshel Faraggi | NotedSource
Unique and passionate physicist with over 30 years
experience in predicting the outcome of complex systems.
Leading developer for a framework to predict the scaling
of hysteresis, laser absorption by the retina, and the 3D
structure of proteins. Responsible for implementing the
bi-modal distribution of the protein dihedrals into
protein structure prediction tools. Was among the first to
introduce ML into 3D protein prediction. Over 15 years
experience in ML and AI. A pioneer of this approach in
bioinformatics.
https://cv.notedsource.io/me/6VLEMDWJ
Eshel Faraggi
Analytical Physicist
Research Expertise
Physics
Artificial Intelligence
Proteins
Cell Division
Ferromagnetism
About
Unique and passionate physicist with over 30
years experience in predicting the outcome of
complex systems. Leading developer for a
framework to predict the scaling of
hysteresis, laser absorption by the retina,
and the 3D structure of proteins. Responsible
for implementing the bi-modal distribution of
the protein dihedrals into protein structure
prediction tools. Was among the first to
introduce ML into 3D protein prediction. Over
15 years experience in ML and AI. A pioneer of
this approach in bioinformatics.
Legacy Map
Full ViewPublications
Improving protein fold recognition and
template-based modeling by employing
probabilistic-based matching between
predicted one-dimensional structural
properties of query and corresponding
native properties of templates
Bioinformatics
2011
SPINE X: Improving protein secondary
structure prediction by multistep learning
coupled with prediction of solvent
accessible surface area and backbone
torsion angles
Journal of Computational
Chemistry
2011
SPINE-D: Accurate Prediction of Short and
Long Disordered Regions by a Single
Neural-Network Based Method
Journal of Biomolecular Structure and
Dynamics
2012
Predicting Continuous Local Structure and
the Effect of Its Substitution for
Secondary Structure in Fragment-Free
Protein Structure Prediction
Structure
2009
Improving the prediction accuracy of
residue solvent accessibility and
real‐value backbone torsion angles of
proteins by guided‐learning through a
two‐layer neural network
Proteins: Structure, Function, and
Bioinformatics
2008
BEST: Improved Prediction of B-Cell
Epitopes from Antigen Sequences
PLoS ONE
2012
Real‐value prediction of backbone torsion
angles
Proteins: Structure, Function, and
Bioinformatics
2008
Direct prediction of profiles of sequences
compatible with a protein structure by
neural networks with fragment-based local
and energy-based nonlocal profiles
Proteins: Structure, Function, and
Bioinformatics
2014
Intrinsically Semi-disordered State and
Its Role in Induced Folding and Protein
Aggregation
Cell Biochemistry and Biophysics
2013
The GOR Method of Protein Secondary
Structure Prediction and Its Application
as a Protein Aggregation Prediction Tool
Methods in Molecular Biology
2016
Accurate single-sequence prediction of
solvent accessible surface area using
local and global features
Proteins: Structure, Function, and
Bioinformatics
2014
DescribePROT: database of amino acid-level
protein structure and function predictions
Nucleic Acids Research
2020
Predicting residue–residue contact maps by
a two‐layer, integrated neural‐network
method
Proteins: Structure, Function, and
Bioinformatics
2009
Trends in template/fragment-free protein
structure prediction
Theoretical Chemistry Accounts
2010
Magnetic energy loss in permalloy thin
films and microstructures
Physical Review B
2005
Fluctuations of backbone torsion angles
obtained from NMR‐determined structures
and their prediction
Proteins: Structure, Function, and
Bioinformatics
2010
Biophysical effects of pulsed lasers in
the retina and other tissues containing
strongly absorbing particles: shockwave
and explosive bubble generation
Journal of Biomedical Optics
2005
A Global Machine Learning Based Scoring
Function for Protein Structure Prediction
Biophysical Journal
2014
Stress confinement, shock wave formation,
and laser-induced damage
SPIE Proceedings
2005
Methods for estimation of model accuracy
in CASP12
Proteins: Structure, Function, and
Bioinformatics
2017
Prediction of Protein Secondary Structure
Methods in Molecular Biology
2017
Comparing NMR and X-ray protein structure:
Lindemann-like parameters and NMR disorder
Journal of Biomolecular Structure and
Dynamics
2017
Prediction of One‐Dimensional Structural
Properties Of Proteins by Integrated
Neural Networks
Introduction to Protein Structure
Prediction
2010
Intrinsic Disorder and Semi-disorder
Prediction by SPINE-D
Methods in Molecular Biology
2016
Many-to-one binding by intrinsically
disordered protein regions
Biocomputing 2020
2019
Fast and Accurate Accessible Surface Area
Prediction Without a Sequence Profile
Methods in Molecular Biology
2016
GENN: A GEneral Neural Network for
Learning Tabulated Data with Examples from
Protein Structure Prediction
Methods in Molecular Biology
2014
Locally converging algorithms for
determining the critical temperature in
Ising systems
Physical Review B
2008
Entropy, Fluctuations, and Disordered
Proteins
Entropy
2019
Accurate Prediction of One-Dimensional
Protein Structure Features Using SPINE-X
Methods in Molecular Biology
2016
Acoustical resonant absorption of pulsed
laser radiation by a spherical absorber
Journal of Applied Physics
2007
Reoptimized UNRES Potential for Protein
Model Quality Assessment
Genes
2018
The emergence of chaos in a laser
irradiated spherical absorber
Chaos: An Interdisciplinary Journal of
Nonlinear Science
2007
Simulation of hysteresis in magnetic
nanoparticles with Nosé thermostating
Physical Review E
2003
Ab-initio calculations for shock wave and
bubble production with Gaussian temporal
laser pulses
SPIE Proceedings
2004
Computational Ways to Enhance Protein
Inhibitor Design
Frontiers in Molecular
Biosciences
2021
A Hybrid Levenberg–Marquardt Algorithm on
a Recursive Neural Network for Scoring
Protein Models
Methods in Molecular Biology
2020
Net widens for funding
ofarXivpreprint server
Physics World
2010
Explicit solutions to phenomenological
models of magnetization reversal of thin
ferromagnetic films in the presence of a
sawtooth magnetic field
Journal of Magnetism and Magnetic
Materials
2006
Magnetic behavior of partially filled
finite Ising surfaces
Physical Review B
2006
Response to pulsed radiation by a
spherical solid absorber immersed in a
transparent fluid
SPIE Proceedings
2005
Evaluation of enzyme activity predictions
for variants of unknown significance in
Arylsulfatase A
Unknown Venue
2024
DescribePROT in 2023: more, higher-quality
and experimental annotations and improved
data download options
Nucleic Acids Research
2023
Prediction of Protein Aggregation
Propensities using GOR Method
Biophysical Journal
2017
New Methods to Improve Protein Structure
Prediction and Refinement
Biophysical Journal
2013
Preprint repository arXiv achieves
milestone million uploads
Physics Today
2014
Chaos in the pressure generated by laser
absorption by microparticles
SPIE Proceedings
2006
Rapid discrimination between deleterious
and benign missense mutations in the CAGI
6 experiment
Human Genomics
2024
Prediction of Deleterious Single Amino
Acid Polymorphisms with a Consensus
Holdout Sampler
Current Genomics
2024
Prediction of Functional Effects of
Protein Amino Acid Mutations
Lecture Notes in Computer Science
2023
There is only charge: Heisenberg-Coulomb
based theory of the quarks, nucleons, and
the nuclei
Unknown Venue
2022
Accessible Surface Area and the Prediction
of the Phenotypes of Missense Mutations
Unknown Venue
2022
Prediction of Deleterious Protein
Mutations
Biophysical Journal
2021
Entropy, Fluctuations, and Disordered
Proteins. Linking between Sequence,
Structure, and Disorder Information
Biophysical Journal
2020
Protein Secondary Structure Assignments
and Their Usefulness for Dihedral
Angle Prediction
Springer Series on Bio- and
Neurosystems
2018
Combining Prediction of Protein
Aggregation Propensities with Prediction
of Other One-Dimensional Properties
Biophysical Journal
2018
2d. Beitragsmodell (arXiv)
Praxishandbuch Open Access
2017
(Invited) Photoinduced Charge Separation
and Charge Transport in Carbon
Nanostructure-Based Devices
ECS Meeting Abstracts
2013
Studies of dynamic processes in
biomedicine by high-speed spectral optical
coherence tomography
SPIE Proceedings
2007
Analyzing chaos in the pressure generated
by laser absorption by microparticles
SPIE Proceedings
2007
Resonant absorption in nanometer gold
spherical particles
SPIE Proceedings
2006
Synergistic effects of laser and adjuvant
therapies for cancer: progress in the
development of novel cancer treatment
methods using combinations of
photothermal, photochemical,
immunotherapy, and chemotherapy
SPIE Proceedings
2005
Flux balance analysis of myocardial
mitochondrial metabolic network
SPIE Proceedings
2005
APS Abstracts Submitted for Presentation
at the 2003 APS Annual Meeting
Phytopathology®
2003
Prediction of Cavitating Flow Around
Single Or Two-Component
CFD 2003: CFD Technology In Ship
Hydrodynamics
2003
Erratum: Ferromagnetism in the
Kondo-lattice model [Phys. Rev. B65 ,
Physical Review B
2002
Monte Carlo study on ferromagnetic phase
transition of two-dimensional Ising model
Proceedings of the 2016 Joint
International Information Technology,
Mechanical and Electronic
Engineering
2016
Education
Hebrew University of Jerusalem
BSc, Math/physics / May, 1996
Jerusalem
The University of Texas at Austin
PhD, Physics -- Magnetization and complex systems / May, 2003
Austin, Texas, United States of
America
Links & Social Media
Join Eshel on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.
Expert Institutions
Proudly trusted by
