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VALENCE DISCOVERY

View On IC.GC.CA

REGISTERED

on 17 Jan 2025

Last Applicant/ Owned by

10736406 Canada Inc.

6666 rue St. Urbain, Suite 200,Montréal

QUEBEC

H2S3H1

Serial Number

2079456 filed on 22^nd Jan 2021

Registration Number

TMA1284081 registered on 17^th Jan 2025

Registration expiry Date

17^th Jan 2035

Correspondent Address

FASKEN MARTINEAU DUMOULIN LLP

800 rue du Square Victoria, bureau 3500Montréal,

QUEBEC

H4Z1E9

VALENCE DISCOVERY

Trademark usage description

research, development, optimization and design of therapeutic drug candidates using computational and biophysical methods informed by artificial intel Read More

Classification Information

Class [042]
Research, development, optimization and design of therapeutic drug candidates using computational and biophysical methods informed by artificial intelligence, machine learning, and deep learning methods, algorithms, servers, and software.

Classification kind code

Mark Details

Serial Number

2079456

Mark Type

Trademark

Legal History

Action Taken	Status
Submitted for opposition 190 on 17^th Jan 2025	Registration Pending
Submitted for opposition 55 on 17^th Jan 2025	Registered
Submitted for opposition 42 on 30^th Oct 2024	Advertised
Submitted for opposition 27 on 2^th Oct 2024	Approval Notice Sent
Submitted for opposition 26 on 2^th Oct 2024	Approved
Submitted for opposition 22 on 23^rd Sept 2024	Search Recorded
Submitted for opposition 287 on 27^th Jun 2022	Pre-Assessment Letter Sent
Submitted for opposition 30 on 22^nd Jan 2021	Filed
Submitted for opposition 1 on 22^nd Jan 2021	Created
Submitted for opposition 31 on 22^nd Jan 2021	Formalized

VALENCE DISCOVERY

Classification Information

Class [042]Research, development, optimization and design of therapeutic drug candidates using computational and biophysical methods informed by artificial intelligence, machine learning, and deep learning methods, algorithms, servers, and software.

Classification kind code

Mark Details

Serial Number

Mark Type

Legal History

Class [042]
Research, development, optimization and design of therapeutic drug candidates using computational and biophysical methods informed by artificial intelligence, machine learning, and deep learning methods, algorithms, servers, and software.