Hui Sun

US Patent:

20230098714, Mar 30, 2023

Filed:

Aug 5, 2022

Appl. No.:

17/882009

Inventors:

- New Rochelle NY, US
Hui B. SUN - New Rochelle NY, US

International Classification:

C12N 15/113
A61P 19/04

Abstract:

Provided herein are compositions and methods of use for mimicking miRNA activity. For example, these compositions can be effective in modulating expression of pro-inflammatory mediators, such as NLRP3. The compositions can be useful for treating musculoskeletal or connective tissue repair or degenerative conditions, for example, tendinopathy and tendon injury.

US Patent:

20210322482, Oct 21, 2021

Filed:

Aug 21, 2017

Appl. No.:

16/327402

Inventors:

- Bronx NY, US
Hui B. Sun - Chappaqua NY, US

Assignee:

ALBERT EINSTEIN COLLEGE OF MEDICINE, INC. - Bronx NY

International Classification:

A61K 35/28
C12N 5/077

Abstract:

Microvesicles produced by stem cells grown on a silk scaffold for enhancing stem cell self-renewal/proliferation and promoting tenogenesis in damaged tendons, and their use in tendon wound repair and tendinopathy treatment. Also provided are compositions containing the microvesicles and devices for obtaining them.

US Patent:

20210098074, Apr 1, 2021

Filed:

Sep 27, 2019

Appl. No.:

16/585679

Inventors:

- ARMONK NY, US
- Cambridge MA, US
Tengfei Ma - White Plains NY, US
Zhao Qin - Lynnfield MA, US
Eugene Jungsup Lim - Cambridge MA, US
Francisco Javier Martin-Martinez - Grenada, ES
Hui Sun - Cambridge MA, US
Benedetto Marelli - Lexington MA, US
Markus Jochen Buehler - Boxford MA, US

International Classification:

G16B 5/00
G06N 3/08
G06N 3/04
G16B 15/20
G16B 40/00

Abstract:

A method, computer system, and a computer program product for designing one or more folded structural proteins from at least one raw amino acid sequence is provided. The present invention may include computing one or more character embeddings based on the at least one raw amino acid sequence by utilizing a multi-scale neighborhood-based neural network (MNNN) model. The present invention may then include refining the computed one or more character embeddings with at least one set of sequence neighborhood information. The present invention may further include predicting one or more dihedral angles based on the refined one or more character embeddings.