Abstract: The invention relates to antibodies such as anti-C1 s antibodies, pharmaceutical compositions comprising the same, and methods of using the same. The invention provides antibodies that comprise an antigen-binding region and an antibody constant region, have a displacement function such that the antibody binds to C1qrs complex and promotes dissociation of C1q from C1qrs complex and/or a blocking function such that the antibody binds to C1r2s2 and inhibits the binding of C1q to C1r2s2, and bind to C1s in a pH-dependent manner. The invention also provides pharmaceutical compositions comprising any one of the antibodies, and methods of treating an individual having a complement-mediated disease or disorder, or preventing an individual potentially having a complement-mediated disease or disorder, comprising administering any one of the antibodies to the individual.

Abstract: A sequence learner performs machine learning on the basis of sequence information representing sequences including some or all of the sequences of a plurality of antigen-binding molecules and proteins and thereby generates a trained model. A virtual sequence generator generates, on the basis of the trained model, virtual sequence information obtained by mutating at least one of constituent elements constituting a sequence represented by the sequence information inputted into the trained model.